Jobs in the United States

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EPAM Systems

Senior Manager, Technology Consulting, Applied AI

New York, NY, United States

Salary range: $160,000-$220,000 USD.

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Job details

Pay: Salary range: $160,000-$220,000 USD.
Posting language: English
Posted: Nov 11, 2026

Original job description

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

For remote work in New York City only.

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 (https://www.youtube.com/embed/NU_mnNITn2o?si=IiCxyQ4sr1YJWxDG)

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.

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 Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

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Jobs in the United States