CTO, Anthropic Practice

Location:

Philadelphia;
Boston;
San Francisco;
New York; USAWork type:
Hybrid Seniority:
Senior Director Primary skill:
Technology Consulting Posted: EPAM is hiring a hands-on CTO to lead the technical side of our Anthropic practice, from the first client conversation to a signed deal and live delivery. The focus is agentic process transformation: redesigning end-to-end business processes around Claude-based agents that do real work, not just assist employees.

You will be the practice's senior technical voice in front of clients. You shape the solution, defend it in the room, and make sure what we sell is what we can deliver. You will work alongside sales, partner, and delivery leaders across EPAM, and with Anthropic's own teams on joint pursuits.

Req# Responsibilities Own the technical story of every major deal, across four stages of the deal lifecycle

Lead technical discovery with C-level and business stakeholders, and find the processes where agents create measurable value (cost, cycle time, quality, revenue)
Run executive briefings, architecture whiteboard sessions, and live demos of Claude-based agentic solutions

Build the business case: process baseline, target state, ROI model, and risk profile

Act as the technical counterpart to Anthropic's account and solutions teams on joint pursuits

Own the technical solution in proposals and RFP responses: architecture, delivery approach, estimates, staffing model, assumptions, and risks

Design agentic architectures: orchestration patterns, tool and data integration, human-in-the-loop checkpoints, evaluation, observability, and guardrails

Shape commercial models with sales, including phased (pilot to scale) and outcome-based pricing

Scope fast proofs of concept and pilots that de-risk the deal and convert into signed programs

Stay with the deal through negotiation and answer technical due diligence, security, and compliance questions

Act as technical sponsor over the delivery lead and architect on flagship engagements, and ensure pilots reach production at enterprise scale

Set engineering standards for agent development: evals, testing, context management, cost and latency control, security, and governance

Serve as the escalation point for technical risk across the Anthropic portfolio

Build reusable assets: reference architectures, accelerators, agent templates, demo environments, and industry solution playbooks

Hire, mentor, and grow a bench of agentic AI architects and FDEs, and train EPAM's wider pre-sales and delivery community

Track Anthropic's roadmap and the wider AI market, and turn new models and products into client offers within weeks of release

Represent EPAM externally at client workshops, Anthropic partner events, and industry conferences, and publish points of view

RequirementsA builder who can sell and a seller who can build, with real depth in core AI

Experience:

12+ years in software engineering, architecture, or technical consulting, including 5+ years in a senior client-facing technical role (field CTO, principal architect, or head of solutions engineering)
Core AI depth: a hands-on background in machine learning or NLP that predates LLMs, plus a working grasp of how LLMs are trained, evaluated, and deployed (fine-tuning vs. retrieval vs. prompting, context windows, embeddings, reasoning, tool use)
Agentic systems in production: has designed and shipped LLM-based agents that run real workflows, with tool use, multi-step planning, multi-agent orchestration, retrieval, memory, and evaluation

Pre-sales track record: has led the technical side of large proposals, won them, and presented to C-level buyers

Process transformation: can map a business process, find where agents fit, and redesign the operating model around them, rather than bolting a chatbot onto the old process

Enterprise architecture breadth: cloud (AWS, Azure, Google Cloud), APIs and integration, data platforms, identity and security, and the enterprise systems agents must work with (ERP, CRM, ITSM, core industry platforms)
Communication: explains technical trade-offs to non-technical executives, then goes deep with client engineering teams the same day Still hands-on: comfortable building a prototype or demo in Python or Type Script Curiosity  and speed: keeps pace with a fast-moving platform and is energized, not overwhelmed, by monthly product releases

Nice to have Anthropic platform: built with Claude models through the Claude API, Claude Agent SDK, Model Context Protocol (MCP), Agent Skills, and Claude Code; has…