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Closed listing

EPAM Systems

Senior Manager, Technology Consulting, Applied AI

Atlanta, GA, United States

This opening has closed.

The original listing is kept below for reference.

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Posting language: English
Posted: Nov 11, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

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 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