Remote Data and AI Consultant Jobs
Remote Data and AI Consultant jobs are open across the U.S. at remote-first firms, distributed technology teams, and enterprise organizations that have shifted data strategy work fully online. Demand is active across sectors including Education, Insurance, and Automotive, with employers like Provectus, Cognizant, and EPAM Systems currently hiring. See the openings below and apply to the ones that match your experience.
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EPAM's Applied AI group helps our business units and their clients turn AI opportunities into solutions that are technically credible and ready to deliver. As a Senior Manager, Technology Consulting, you will be a trusted technical advisor on client pursuits and a key contributor to integrated solution shaping. You will work with Growth Leads, client partners and Principals to help qualify opportunities, connect business needs with technical capabilities, and bring together specialists from across EPAM practices to shape cohesive solutions. You will advise business and technology stakeholders and show how agentic AI and GenAI can transform business processes, including through quick, clickable prototypes.
You will partner with Applied AI colleagues, Forward Deployed AI Architects, product management, Engineering and delivery teams to make technical trade-offs, risks and costs explicit before a client commits. This role focuses on technical strategy, pre-sales and integrated solution shaping, and complements our Forward Deployed AI Architects, who concentrate on client-embedded architecture and technical implementation. Senior Managers may stay involved selectively during early delivery to ensure a smooth transition, but long-term implementation is not the primary focus, and the role does not carry account ownership. You will work across a portfolio of clients at once, from short pre-sales pursuits to consulting engagements lasting a couple of months.
Req.#1116591348
Responsibilities
- Support technical qualification and AI pre-sales, partnering with Growth Leads, client partners and Principals to define business outcomes, connect them to technical capabilities and shape technically credible solution propositions
- Contribute to integrated solution shaping across EPAM practices, working with specialist teams to develop cohesive, delivery-ready solutions and supporting pursuits from first conversation through commitment
- Engage and advise client stakeholders, building trust through clear solution narratives and credible technical judgment
- Advise on agentic AI, RAG, automation, model and platform choices, and build-versus-buy options, making trade-offs explicit through vendor evaluation across a vendor-neutral landscape (OpenAI, Anthropic, AWS, Microsoft, Google)
- Turn ideas into evidence quickly by building or directing clickable prototypes with clients to demonstrate value
- Contribute to AI readiness assessments across business processes, data, platforms, integration and security, using maturity models where they help
- Help define enterprise AI foundation requirements for identity, models, agents, knowledge, AI governance, evaluation and AI observability as solutions scale
- Develop architecture options and pre-sales proposal content, working with Growth Leads and Applied AI Leads to turn shaped solutions into compelling client propositions
- Review design and proof evidence from architects and engineers, and contribute to documented technical readiness recommendations
- Collaborate across EPAM practices (Data, Intelligent Automation, hyperscaler and AI partner teams) to build win-win propositions for clients
- Help align scope, risks and estimates with the delivery organization before commitment, support delivery-ready solutions and a clear, accepted technical handoff, with selective involvement in early delivery as needed
- Contribute to reusable technical playbooks and solution packs, and mentor consultants and client-facing teams
Requirements
- Software engineering or solution architecture foundation with real hands-on experience, so you can speak credibly with architects and engineers and, where needed, build as well as advise
- Experience in client-facing technology consulting or AI pre-sales: partnering with clients to define outcomes, qualify opportunities and shape AI solutions
- Hands-on experience building with GenAI and agentic AI, including LLM selection, capabilities and limitations, enterprise adoption, and evaluation of quality and safety
- Working knowledge of common GenAI solution patterns such as retrieval-augmented generation (RAG) and agentic workflows, including orchestration, autonomy boundaries and human-in-the-loop design. Deep production experience with any specific pattern or framework is not required
- Depth in one or two primary technology stacks (for example Anthropic, OpenAI, AWS or Azure), with the breadth of a strong technical generalist and a technology-agnostic approach
- Ability to quickly turn around a clickable prototype with a client. Production-grade delivery is not expected
- Strong written and verbal communication in ambiguous client settings: solution narratives, technical proposals, architecture recommendations and executive presentations
- Experience supporting complex technical pursuits, coordinating specialist teams, mentoring consultants and engaging client stakeholders
- Collaboration skills to partner effectively across practices and with technology partners
Nice to have
- Deeper expertise in a specific industry domain. Generalists are welcome
- Exposure to AI governance, responsible AI, compliance assurance, risk management, privacy and model oversight
- Experience conducting AI maturity assessments and applying enterprise maturity models
- Experience leading vendor evaluation and technology selection, including platform assessments and proof-of-concept reviews
- Familiarity with enterprise architecture topics such as Identity and Access Management, security, APIs, event-driven architectures and integration patterns
- Knowledge of AI observability, AI data governance (quality, lineage, stewardship) and AI platform lifecycle management
- Understanding of agentic operating model transformation: the organizational, process and governance changes needed to scale AI-enabled ways of working
- Experience with solution estimation, cost modeling and Cloud FinOps principles
We offer
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
- Paid Holidays - nine (9) total per year
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
This Remote Position Cannot be Performed in New York City.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training, the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $160,000-$220,000 USD. This position is also eligible for variable compensation incentives. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
Applications will be accepted on a rolling basis.
In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)
EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
EPAM's Applied AI group helps our business units and their clients turn AI opportunities into solutions that are technically credible and ready to deliver. As a Senior Manager, Technology Consulting, you will be a trusted technical advisor on client pursuits and a key contributor to integrated solution shaping. You will work with Growth Leads, client partners and Principals to help qualify opportunities, connect business needs with technical capabilities, and bring together specialists from across EPAM practices to shape cohesive solutions. You will advise business and technology stakeholders and show how agentic AI and GenAI can transform business processes, including through quick, clickable prototypes.
You will partner with Applied AI colleagues, Forward Deployed AI Architects, product management, Engineering and delivery teams to make technical trade-offs, risks and costs explicit before a client commits. This role focuses on technical strategy, pre-sales and integrated solution shaping, and complements our Forward Deployed AI Architects, who concentrate on client-embedded architecture and technical implementation. Senior Managers may stay involved selectively during early delivery to ensure a smooth transition, but long-term implementation is not the primary focus, and the role does not carry account ownership. You will work across a portfolio of clients at once, from short pre-sales pursuits to consulting engagements lasting a couple of months.
Req.#1116591348
Responsibilities
- Support technical qualification and AI pre-sales, partnering with Growth Leads, client partners and Principals to define business outcomes, connect them to technical capabilities and shape technically credible solution propositions
- Contribute to integrated solution shaping across EPAM practices, working with specialist teams to develop cohesive, delivery-ready solutions and supporting pursuits from first conversation through commitment
- Engage and advise client stakeholders, building trust through clear solution narratives and credible technical judgment
- Advise on agentic AI, RAG, automation, model and platform choices, and build-versus-buy options, making trade-offs explicit through vendor evaluation across a vendor-neutral landscape (OpenAI, Anthropic, AWS, Microsoft, Google)
- Turn ideas into evidence quickly by building or directing clickable prototypes with clients to demonstrate value
- Contribute to AI readiness assessments across business processes, data, platforms, integration and security, using maturity models where they help
- Help define enterprise AI foundation requirements for identity, models, agents, knowledge, AI governance, evaluation and AI observability as solutions scale
- Develop architecture options and pre-sales proposal content, working with Growth Leads and Applied AI Leads to turn shaped solutions into compelling client propositions
- Review design and proof evidence from architects and engineers, and contribute to documented technical readiness recommendations
- Collaborate across EPAM practices (Data, Intelligent Automation, hyperscaler and AI partner teams) to build win-win propositions for clients
- Help align scope, risks and estimates with the delivery organization before commitment, support delivery-ready solutions and a clear, accepted technical handoff, with selective involvement in early delivery as needed
- Contribute to reusable technical playbooks and solution packs, and mentor consultants and client-facing teams
Requirements
- Software engineering or solution architecture foundation with real hands-on experience, so you can speak credibly with architects and engineers and, where needed, build as well as advise
- Experience in client-facing technology consulting or AI pre-sales: partnering with clients to define outcomes, qualify opportunities and shape AI solutions
- Hands-on experience building with GenAI and agentic AI, including LLM selection, capabilities and limitations, enterprise adoption, and evaluation of quality and safety
- Working knowledge of common GenAI solution patterns such as retrieval-augmented generation (RAG) and agentic workflows, including orchestration, autonomy boundaries and human-in-the-loop design. Deep production experience with any specific pattern or framework is not required
- Depth in one or two primary technology stacks (for example Anthropic, OpenAI, AWS or Azure), with the breadth of a strong technical generalist and a technology-agnostic approach
- Ability to quickly turn around a clickable prototype with a client. Production-grade delivery is not expected
- Strong written and verbal communication in ambiguous client settings: solution narratives, technical proposals, architecture recommendations and executive presentations
- Experience supporting complex technical pursuits, coordinating specialist teams, mentoring consultants and engaging client stakeholders
- Collaboration skills to partner effectively across practices and with technology partners
Nice to have
- Deeper expertise in a specific industry domain. Generalists are welcome
- Exposure to AI governance, responsible AI, compliance assurance, risk management, privacy and model oversight
- Experience conducting AI maturity assessments and applying enterprise maturity models
- Experience leading vendor evaluation and technology selection, including platform assessments and proof-of-concept reviews
- Familiarity with enterprise architecture topics such as Identity and Access Management, security, APIs, event-driven architectures and integration patterns
- Knowledge of AI observability, AI data governance (quality, lineage, stewardship) and AI platform lifecycle management
- Understanding of agentic operating model transformation: the organizational, process and governance changes needed to scale AI-enabled ways of working
- Experience with solution estimation, cost modeling and Cloud FinOps principles
We offer
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
- Paid Holidays - nine (9) total per year
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
This Remote Position Cannot be Performed in New York City.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training, the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $160,000-$220,000 USD. This position is also eligible for variable compensation incentives. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
Applications will be accepted on a rolling basis.
In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)
EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See All 37 Remote Data and AI Consultant Jobs
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Find JobsRemote Data and AI Consultant Job Market
Who's Hiring
Top Industries Hiring
- Education
- Insurance
- Automotive
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data and AI consultant jobs.
- Five or more years of experience in data analytics, data science, or AI strategy
- Proficiency in Python, SQL, or R for data manipulation and model development
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with machine learning frameworks including TensorFlow, PyTorch, or scikit-learn
- Strong communication skills for presenting findings to executive and non-technical audiences
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related field
Tips for Your Remote Data and AI Consultant Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data and ai consultant openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through mixed listings. Applying in the first few days of a posting going live improves your chances significantly.
Build a written portfolio of past work
Remote employers can't observe how you think in person, so document your data and AI projects in writing. Case study write-ups that walk through your problem framing, methodology, tools, and business impact give hiring managers a concrete way to evaluate your independent thinking.
Signal async communication skills upfront
Remote data and ai consultant roles depend on written handoffs and async updates across time zones. Use your cover letter and application materials to demonstrate clear, concise written communication, and reference specific tools you've used for async collaboration like Notion, Confluence, or structured Slack protocols.
Highlight cloud and remote tooling fluency
Remote teams run data and AI workflows on cloud platforms like AWS, Azure, and Google Cloud, often using tools like Databricks, dbt, or Vertex AI. Name the specific platforms you've used in your resume and contextualize them within distributed team environments to show you're already set up to contribute remotely.
Remote Data and AI Consultant Jobs: Frequently Asked Questions
How do I get a remote data and ai consultant job?
Target companies that run distributed data teams, such as cloud-native software firms, digital-first financial services companies, and remote-first consulting practices, because they already have the infrastructure for async collaboration. Remote employers screen hard for self-direction, clear written communication, and the ability to deliver insights without hand-holding, so highlight those in your application. Proficiency in Python, SQL, cloud platforms, and machine learning frameworks makes candidates stand out.
Which companies hire remote data and ai consultants?
Companies hiring remote data and ai consultants right now include Provectus, Cognizant, and EPAM Systems, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed healthcare analytics organizations, and financial services companies with global data teams are among the most active employers for this role.
Can you get a remote data and ai consultant job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal oversight. Remote-first startups and boutique consulting firms are more open to junior candidates than large enterprises. A portfolio of personal or freelance data projects, documented in writing to show your thinking, can substitute for formal experience and signals you're ready for async work.
Do you need a degree for remote data and ai consultant jobs?
Not always. Many remote employers prioritize demonstrated skills over credentials, particularly at companies that run lean distributed teams and care more about output than pedigree. A strong portfolio, proficiency in tools like Python and cloud ML platforms, and evidence of delivering real business results carry significant weight. A degree in a quantitative field helps at larger enterprises, but it's rarely the deciding factor for remote roles.
Which industries hire the most remote data and ai consultants?
The sectors hiring the most remote data and ai consultants are Education, Insurance, and Automotive, based on current remote listings on Migrate Mate as of November 2026. These industries rely heavily on distributed teams to manage data infrastructure and deploy AI solutions across geographically spread operations.
See All 37 Remote Data and AI Consultant Jobs
Find roles that match your experience and apply in just a few clicks.
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