{"id":1869721,"url":"https://alion.io/job/people-in-ai-ai-platform-engineer-2","title":"AI Platform Engineer","company":{"id":3862080,"name":"People In AI","domain":"peopleinai.com","url":"https://alion.io/company/people-in-ai","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":12,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Copilot","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-07-30T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T07:07:49Z","board_verified":true,"closed_at":null,"days_open":84,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":84},"description":"AI Platform Engineer\nCompensation: $160,000-$185,000 base + 15% bonus\nLocation: Remote, United States\nOur client is a global professional services organization undergoing a significant AI transformation. They're building a new enterprise AI capability to improve how knowledge is accessed, workflows are automated, and business operations are enhanced through large language models and intelligent automation.\nThey're looking for an AI Platform Engineer to help build the technical foundation that will enable AI across the business.\nThe Role\nThis is a rare opportunity to join at the ground floor of a newly formed AI function. You'll work across platform engineering, enterprise architecture, infrastructure, and applied AI to design and deploy production-grade AI systems that can be leveraged throughout the organization.\nRather than focusing on model training or AI research, you'll build the infrastructure, orchestration, and integrations that allow enterprise AI applications to scale securely and reliably.\nYou'll have significant ownership from day one, partnering with senior technology leadership to influence architecture, platform decisions, and the long-term direction of AI within the business.\nWhat You'll Do\nDesign and build an enterprise AI platform from the ground up.\n\nArchitect scalable AI infrastructure, data pipelines, and orchestration workflows.\n\nDeploy production LLM applications using modern enterprise AI technologies.\n\nIntegrate AI capabilities into existing business systems and workflows.\n\nBuild reusable AI services that support multiple internal teams and business functions.\n\nDevelop solutions including knowledge assistants, document intelligence, enterprise search, and workflow automation.\n\nEstablish best practices around AI security, governance, and responsible AI.\n\nPartner with technical and business stakeholders to identify high-impact AI opportunities and deliver practical solutions.\n\nWhat You'll Bring\nExperience building and deploying production AI applications.\n\nStrong Azure and cloud infrastructure experience.\n\nExperience integrating LLMs into enterprise environments.\n\nBackground building data pipelines, backend systems, and enterprise integrations.\n\nExperience with orchestration frameworks, AI agents, or workflow automation.\n\nStrong software engineering and systems architecture fundamentals.\n\nAbility to operate across engineering, infrastructure, and technical strategy.\n\nExcellent communication skills with both technical and non-technical stakeholders.\n\nNice to Have\nExperience with Microsoft Copilot or Azure OpenAI.\n\nGraph database or knowledge graph experience.\n\nExperience working in highly regulated or enterprise environments.\n\nFamiliarity with responsible AI, security, and governance frameworks.\n\nWhy Join?\nJoin a newly established AI team with the opportunity to build core capabilities from day one.\n\nOwn highly visible technical initiatives with significant influence over architecture and platform direction.\n\nSolve complex enterprise problems using modern AI technologies.\n\nWork in a collaborative environment with high ownership and broad technical scope.\n\nCompetitive compensation of $160,000-$185,000 base + 15% target bonus, comprehensive benefits, and the opportunity to shape a company's AI journey from the ground up.\n\nAbout People In AI\nPeople In AI partners with some of the world's most innovative organizations, connecting exceptional engineers with opportunities to build the next generation of AI platforms, infrastructure, and intelligent 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