Remote Principal Software Consultant Jobs
Remote Principal Software Consultant jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams regularly hiring for this senior-level role in sectors including technology, financial services, and professional services. Employers currently hiring include EPAM Systems, Cognizant, and Optiv. 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 Principal, Technology Consulting, you will be the senior technical voice in the room and a leader of integrated solution shaping. You will work with Growth Leads and client partners to discover and qualify complex opportunities, connect business needs with technical capabilities, and bring together specialists from across EPAM practices to shape cohesive, end-to-end solutions. You will advise business and technology leaders 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. Principals 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#1116587264
Responsibilities
- Lead technical qualification and AI pre-sales for complex opportunities, partnering with Growth Leads and client partners to define business outcomes, connect them to technical capabilities and shape technically credible solution propositions
- Lead integrated solution shaping across multiple EPAM practices, coordinating specialist teams to deliver cohesive, delivery-ready solutions and guiding complex technical pursuits from first conversation through commitment
- Engage and advise senior client stakeholders, including business and technology executives, 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 and selection 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
- Lead AI readiness assessments across business processes, data, platforms, integration and security, using maturity models where they help
- Define enterprise AI foundation requirements for identity, models, agents, knowledge, AI governance, evaluation and AI observability as solutions scale
- Contribute 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 issue documented technical readiness recommendations
- Collaborate and negotiate across EPAM practices (Data, Intelligent Automation, hyperscaler and AI partner teams) to build win-win propositions for clients
- Align scope, risks and estimates with the delivery organization before commitment, ensure solutions are delivery-ready, and support a clear, accepted technical handoff, with selective involvement in early delivery as needed
- Create reusable technical playbooks and solution packs, coach client-facing teams and senior consultants, and measure technical conversion
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
- Proven track record in client-facing technology consulting or AI pre-sales: partnering with clients to define outcomes, qualify complex opportunities and shape AI solutions that span multiple technical domains
- 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 leading complex technical pursuits, coordinating specialist teams, mentoring senior consultants and engaging senior client stakeholders
- Collaboration and negotiation 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: $190,000-$260,000 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 Principal, Technology Consulting, you will be the senior technical voice in the room and a leader of integrated solution shaping. You will work with Growth Leads and client partners to discover and qualify complex opportunities, connect business needs with technical capabilities, and bring together specialists from across EPAM practices to shape cohesive, end-to-end solutions. You will advise business and technology leaders 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. Principals 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#1116587264
Responsibilities
- Lead technical qualification and AI pre-sales for complex opportunities, partnering with Growth Leads and client partners to define business outcomes, connect them to technical capabilities and shape technically credible solution propositions
- Lead integrated solution shaping across multiple EPAM practices, coordinating specialist teams to deliver cohesive, delivery-ready solutions and guiding complex technical pursuits from first conversation through commitment
- Engage and advise senior client stakeholders, including business and technology executives, 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 and selection 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
- Lead AI readiness assessments across business processes, data, platforms, integration and security, using maturity models where they help
- Define enterprise AI foundation requirements for identity, models, agents, knowledge, AI governance, evaluation and AI observability as solutions scale
- Contribute 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 issue documented technical readiness recommendations
- Collaborate and negotiate across EPAM practices (Data, Intelligent Automation, hyperscaler and AI partner teams) to build win-win propositions for clients
- Align scope, risks and estimates with the delivery organization before commitment, ensure solutions are delivery-ready, and support a clear, accepted technical handoff, with selective involvement in early delivery as needed
- Create reusable technical playbooks and solution packs, coach client-facing teams and senior consultants, and measure technical conversion
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
- Proven track record in client-facing technology consulting or AI pre-sales: partnering with clients to define outcomes, qualify complex opportunities and shape AI solutions that span multiple technical domains
- 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 leading complex technical pursuits, coordinating specialist teams, mentoring senior consultants and engaging senior client stakeholders
- Collaboration and negotiation 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: $190,000-$260,000 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 JobsRemote Principal Software Consultant Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote principal software consultant jobs.
- 10 or more years of software engineering experience with demonstrated architectural ownership
- Deep proficiency in at least one major cloud platform such as AWS, Azure, or Google Cloud
- Experience leading technical strategy and mentoring senior and mid-level engineers
- Strong communication skills for translating complex systems decisions to non-technical stakeholders
- Proficiency in one or more backend languages such as Java, Python, Go, or C#
- Bachelor's degree in computer science, software engineering, or a related technical field
Tips for Your Remote Principal Software Consultant Job Search
Apply early to remote roles that fit
Migrate Mate lists remote principal software consultant openings from across the U.S. in one place. Search for roles that match your technical depth and apply directly, as senior remote positions at distributed companies often close faster than their on-site equivalents.
Show async leadership in your portfolio
Remote employers evaluating principal software consultants look for evidence of async technical leadership: architecture decision records, written design reviews, and RFC documents you've authored. A portfolio that demonstrates how you drive engineering direction in writing carries more weight than a list of tools.
Target remote-first firms over remote-optional ones
Principal-level remote roles land more naturally at companies built around distributed work from the start. Remote-first product companies and distributed consultancies already have the culture and tooling for async decision-making, so senior contributors integrate without fighting a hybrid-first default.
Prepare for async technical interviews
Many remote-first companies conduct principal-level interviews through asynchronous take-homes, written system design exercises, or recorded walkthroughs before any live session. Practice articulating architectural reasoning in writing and expect interviewers to probe how you manage technical ambiguity without real-time collaboration.
Remote Principal Software Consultant Jobs: Frequently Asked Questions
How do I get a remote principal software consultant job?
Remote principal software consultant roles go to candidates who can demonstrate deep technical authority and strong asynchronous communication skills without in-person oversight. Remote employers in this space, typically distributed product companies and technology consultancies, screen heavily for self-direction, written clarity in design docs and architecture reviews, and the ability to influence engineering decisions across time zones without relying on whiteboard sessions.
Which companies hire remote principal software consultants?
Employers currently hiring remote principal software consultants include EPAM Systems, Cognizant, and Optiv, per current remote listings on Migrate Mate as of November 2026. Remote-first software firms, distributed consulting practices, and technology-driven companies in sectors like fintech, enterprise SaaS, and cloud infrastructure make up the largest share of remote openings at this level.
Can you get a remote principal software consultant job with no experience?
Yes, but remote entry into this role is harder than on-site because you're expected to operate independently from day one without informal mentorship. Candidates who break in early tend to contribute to open-source projects with documented technical decisions, build a visible body of written technical work, and target smaller remote-first companies where senior scope is broader and hiring criteria are more flexible.
Do you need a degree for remote principal software consultant jobs?
Not always. Remote employers at this level weigh demonstrated architecture experience, a portfolio of shipped systems, and strong technical writing more heavily than a specific credential. A degree helps at large enterprises with structured hiring filters, but many remote-first companies evaluate candidates on the depth of their engineering decisions, their ability to lead technical direction asynchronously, and the results of past consulting engagements.
See All 11 Remote Principal Software Consultant Jobs
Find roles that match your experience and apply in just a few clicks.
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