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Lead AI Solution Engineer

Role overview

Qualifications

  • At least 5 years of applicable professional background
  • A minimum of one year spent leading and managing development teams
  • Solid grounding in API and integration standards that support secure, scalable system connectivity
  • Strong familiarity with cybersecurity and trust concepts as they relate to AI systems and integration work

Responsibilities

  • Review and sign off on AI skills, agents, connectors, and MCP integrations, measuring them against pre-established security and risk benchmarks
  • Architect and construct bespoke MCP servers, connectors, and integrations tailored to approved business scenarios
  • Carry out security assessments covering Claude Enterprise, Microsoft 365 Copilot, and comparable AI platform features
  • Contribute to building and sustaining AI governance frameworks, review workflows, and risk evaluation methodologies

Key facts

Hard skills

Other skills

  • Governance

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We're in search of a Lead AI Solution Engineer to join our organization. The role involves supporting the automation of risk-driven controls and connector design patterns, along with hands-on review of the existing backlog. The selected candidate will be expected to weigh in on triaging the review workflow, tooling decisions, and software supply chain matters, while also shaping overall architecture as new capabilities come online. Over time, the role will involve constructing a harness rubric that governs the addition of trusted tools suitable for internal use and wider organizational adoption Responsibilities Review and sign off on AI skills, agents, connectors, and MCP integrations, measuring them against pre-established security and risk benchmarks Architect and construct bespoke MCP servers, connectors, and integrations tailored to approved business scenarios Carry out security assessments covering Claude Enterprise, Microsoft 365 Copilot, and comparable AI platform features Evaluate connectors and integrations for potential data exposure, permission structures, identity and security safeguards, auditability, and broader implementation risk factors Contribute to building and sustaining AI governance frameworks, review workflows, and risk evaluation methodologies Offer architectural input and hands-on implementation guidance to promote secure AI integration organization-wide Advise on strategies to optimize costs tied to consumption-based AI product usage Requirements At least 5 years of applicable professional background A minimum of one year spent leading and managing development teams Solid grounding in API and integration standards that support secure, scalable system connectivity Background applying AI in practice, particularly within agentic business transformation contexts Strong familiarity with cybersecurity and trust concepts as they relate to AI systems and integration work Working familiarity with the Model Context Protocol (MCP) and its role in constructing secure integrations Upper-intermediate English language skills or higher (B2) Nice to have Background working with Anthropic Claude to support AI-driven solution building Exposure to Microsoft Copilot for enabling AI-powered productivity and automation scenarios

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