Senior Manager, Technology Consulting, Applied AI

EPAM Systems Inc; Seattle (WA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Insurance

401(k) Plan

Paid Time Off

Life Insurance

Employee Discounts

Employee Assistance Program

LinkedIn Learning access

Job summary

EPAM Systems, Inc. is seeking a Senior Manager, Technology Consulting to lead AI pre-sales and shape integrated solutions for client opportunities.

You will coordinate Growth Leads, client partners and Principals to map business outcomes to technical capabilities across EPAM practices. You will advise on agentic AI, GenAI approaches, and vendor options, delivering credible solution narratives and prototypes to demonstrate business value.

Qualifications

• Hands-on experience in AI pre-sales and client-facing technology consulting.
• Strong foundation in software engineering or solution architecture.

Responsibilities

• Support technical qualification and AI pre-sales with Growth Leads and Principals.
• Contribute to integrated solution shaping across EPAM practices.
• Advise on agentic AI, RAG, and platform choices.
• Turn ideas into evidence with clickable prototypes for clients.
• Develop enterprise AI foundation requirements and governance.

Skills

AI pre-sales

Solution architecture

Client leadership

Prototype development

Cross-practice collab

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

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.