Our organization is seeking a Chief AI Solution Engineer to come on board. This position centers on helping automate risk-based controls and connector design frameworks, in addition to performing direct, manual review of the standing backlog. Whoever takes on this role will be called upon to guide decisions around triaging the review process, selecting appropriate tooling, and addressing software supply chain considerations, all while informing architectural direction as new functionality is introduced. In time, this role will also be tasked with developing a harness rubric that determines which trusted tools are appropriate for internal use and ready for wider rolloutResponsibilitiesAssess and grant approval for AI skills, agents, connectors, and MCP integrations by evaluating them against defined risk and security thresholdsPlan out and build custom-tailored MCP servers, connectors, and integrations that align with sanctioned business applicationsPerform thorough security evaluations spanning Claude Enterprise, Microsoft 365 Copilot, and similar AI platform functionalitiesExamine connectors and integrations to identify risks involving data exposure, access permissions, identity and security measures, audit trails, and broader rollout concernsPlay a part in establishing and maintaining AI governance policies, structured review procedures, and risk evaluation approachesDeliver architectural guidance and practical implementation support to enable secure AI deployment throughout the organizationGuide cost-management approaches specifically related to consumption-based AI product spendingRequirementsA minimum of 7 years of relevant hands-on professional backgroundAt least 2 years spent in roles leading and overseeing development teamsStrong foundation in API and integration standards supporting secure, scalable connections between systemsPractical background applying AI solutions, with particular emphasis on agentic business transformation workDeep familiarity with cybersecurity and trust principles as they apply to AI systems and related integration effortsSolid working knowledge of the Model Context Protocol (MCP) and how it supports building secure integrationsUpper-intermediate English language skills or higher (B2)Nice to haveExperience using Anthropic Claude to support the development of AI-driven solutionsFamiliarity with Microsoft Copilot for enabling AI-assisted productivity and automation applicationsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.