CTO, Anthropic Practice

Location: Philadelphia; Boston; San Francisco; New York; USAWork type: HybridSeniority: Senior DirectorPrimary skill: Technology ConsultingPosted: 2026-10-30EPAM 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# 1123864311ResponsibilitiesOwn the technical story of every major deal, across four stages of the deal lifecycleLead 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 solutionsBuild the business case: process baseline, target state, ROI model, and risk profileAct as the technical counterpart to Anthropic's account and solutions teams on joint pursuitsOwn the technical solution in proposals and RFP responses: architecture, delivery approach, estimates, staffing model, assumptions, and risksDesign agentic architectures: orchestration patterns, tool and data integration, human-in-the-loop checkpoints, evaluation, observability, and guardrailsShape commercial models with sales, including phased (pilot to scale) and outcome-based pricingScope fast proofs of concept and pilots that de-risk the deal and convert into signed programsStay with the deal through negotiation and answer technical due diligence, security, and compliance questionsAct as technical sponsor over the delivery lead and architect on flagship engagements, and ensure pilots reach production at enterprise scaleSet engineering standards for agent development: evals, testing, context management, cost and latency control, security, and governanceServe as the escalation point for technical risk across the Anthropic portfolioBuild reusable assets: reference architectures, accelerators, agent templates, demo environments, and industry solution playbooksHire, mentor, and grow a bench of agentic AI architects and FDEs, and train EPAM's wider pre-sales and delivery communityTrack Anthropic's roadmap and the wider AI market, and turn new models and products into client offers within weeks of releaseRepresent EPAM externally at client workshops, Anthropic partner events, and industry conferences, and publish points of viewRequirementsA builder who can sell and a seller who can build, with real depth in core AIExperience: 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 evaluationPre-sales track record: has led the technical side of large proposals, won them, and presented to C-level buyersProcess 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 processEnterprise 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 dayStill hands-on: comfortable building a prototype or demo in Python or TypeScriptCuriosity and speed: keeps pace with a fast-moving platform and is energized, not overwhelmed, by monthly product releasesNice to haveAnthropic platform: built with Claude models through the Claude API, Claude Agent SDK, Model Context Protocol (MCP), Agent Skills, and Claude Code; has rolled out Claude EnterpriseCloud channels: has deployed Claude through Amazon Bedrock, Google Cloud Vertex AI, or Microsoft FoundryCompetitive fluency: knows other agent frameworks and model providers well enough to position Claude credibly against themAI governance: working knowledge of the EU AI Act, NIST AI RMF, ISO/IEC 42001, and the rules of regulated industriesLLMOps: experience with evaluation, observability, and cost management for agents in productionIndustry depth in one or more of EPAM's core sectors: financial services, insurance, life sciences and healthcare, retail and consumer, software and hi-tech, or travel and hospitalityBackground at a major consultancy, hyperscaler, or AI lab in a field CTO, applied AI, or solutions engineering roleEducation: advanced degree in computer science, machine learning, or a related field, or equivalent experience. Publications, patents, or open-source work are a plusWe offerMedical, Dental and Vision Insurance (Subsidized)Health Savings AccountFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)Short-Term and Long-Term Disability (Company Provided)Life and AD&D Insurance (Company Provided)Employee Assistance ProgramUnlimited access to LinkedIn learning solutionsMatched 401(k) Retirement Savings PlanPaid Time OffLegal Plan and Identity Theft ProtectionAccident InsuranceEmployee DiscountsPet InsuranceEmployee Stock Purchase Program