Data and AI Consultant Jobs
Data and AI Consultant jobs are open from analyst to principal and director levels, across financial services, healthcare, technology, and professional services, with specializations in machine learning strategy, data governance, and enterprise AI implementation. Scan the live roles below and apply to whichever ones fit.
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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.
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Find Data and AI Consultant JobsData and AI Consultant Job Market
Who's Hiring
- EY24

- Booz Allen Hamilton12

- JPMorganChase10

- Johns Hopkins University Applied Physics Laboratory9

- Cognizant7

Top Industries Hiring
- Banking & Financial Services
- Education
- Technology & Software
- Accounting & Auditing
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in 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 Data and AI Consultant Job Search
Tailor your resume to each engagement model
Data and AI consultant roles split between project-based engagements and embedded advisory work. Your resume should make clear which model you have experience with, calling out delivery timelines, stakeholder levels, and measurable outcomes rather than just tools used.
Lead with business impact over technical output
Hiring managers for consultant roles screen for revenue, cost, or efficiency outcomes, not model accuracy alone. Reframe every bullet around what changed for the business after your analysis or AI implementation, not just what you built or deployed.
Apply early to roles that fit
Migrate Mate lists data and AI consultant openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by industry vertical deliberately
Data and AI consultant hiring criteria shift significantly by sector. Financial services expects regulatory familiarity and audit-ready documentation. Healthcare requires HIPAA-aware workflows. Search by vertical and read the requirements carefully before applying to avoid mismatched interviews.
Prepare a case-based portfolio before interviews
Most data and AI consultant interviews include a case component where you walk through a past engagement. Have two or three structured cases ready that show problem framing, stakeholder alignment, technical approach, and what you would do differently, not just what succeeded.
Negotiate scope and deliverables alongside compensation
Consultant roles often have flexible structures. When you receive an offer, clarify what a successful first engagement looks like, how performance is measured, and whether the role is billable or internal, since these factors affect long-term earning and career trajectory as much as base pay does.
Data and AI Consultant Jobs: Frequently Asked Questions
Which companies are hiring the most data and ai consultants?
The companies hiring the most data and ai consultants right now include EY, Booz Allen Hamilton, and JPMorganChase, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand tends to be highest at management consulting firms, enterprise technology companies, and large financial institutions running AI transformation programs.
How many data and ai consultant jobs are remote?
About 66% of data and ai consultant openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility for advisory and analytical work. Sub-areas such as AI strategy, model governance, and data architecture tend to have the highest remote availability, while implementation and client-facing delivery roles more often require on-site presence during key project phases.
How do you become a data and ai consultant?
Start by building a foundation in statistics, programming, and data infrastructure through a relevant degree or self-directed technical training. Develop hands-on experience through internal analyst roles, freelance projects, or open-source contributions. Progress toward consulting by taking on cross-functional work that requires you to translate findings into business recommendations, then document those engagements as structured case studies for interviews.
Can I get a data and ai consultant job with little or no experience?
Entry-level data and AI consultant roles exist, though they typically require a strong academic background, demonstrated technical skills, and at least one project you can walk through end to end. Building a portfolio of independent analyses, contributing to Kaggle competitions, or completing a consulting-focused capstone through a graduate program can substitute for direct professional experience when applying to associate or junior consultant positions.
What does the data and ai consultant interview process look like?
The process typically moves through a recruiter screen, a technical assessment covering SQL or Python and sometimes machine learning concepts, a case study or take-home project, and a final round with senior stakeholders or practice leads. Some firms add a presentation stage where you walk through past engagement outcomes. The case component is usually the most weighted step, so practicing structured problem framing before each round is essential.
Where can I find and apply to data and ai consultant jobs?
You can find and apply to data and AI consultant jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the roles available, find the ones that match your background and target industry, and apply directly to each listing that fits your experience and goals.
See All 381+ Data and AI Consultant Jobs
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