{"id":3555794,"url":"https://alion.io/job/mars-senior-ai-engineering-lead","title":"Senior AI Engineering Lead","company":{"id":94439,"name":"Mars","domain":"mars.com","url":"https://alion.io/company/mars","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":28,"ghost_share":0.071,"stale_share":0.143,"repost_share":0.286,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland","Brazil"],"countries":["PL","BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":126000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-20T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-01T00:50:40Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Job Description:\nJob Purpose/Overview\nMars Segments and Functions are raising the bar, AI must deliver business value not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable agentic software. As a systems-minded, AI-native engineer, the candidate will own the full stack APIs, intuitive UIs, and scalable orchestration pipelines.\nEmbedded deeply with the business teams, the candidate will diagnose the root problems, and architect AI-powered workflows that run at scale. The candidate will partner with business stakeholders to design, implement, and deliver solution-ready builds in agile sprints. The product becomes the reference implementation for scalable GenAI in the enterprise by codifying patterns, internal tooling, and delivering systems that are tested and scalable.\nKey Responsibilities\nBuild solution-ready, LLM-enabled applications that span backend logic, data orchestration, and front-end UI.\nAdopt responsible AI practices and principles and deploy compliant solutions with the right RBAC policies and access management.\nWork with business stakeholders to adapt, deploy, and iterate in live environments.\nCodify reusable asset that includes libraries, prompts, scaffold to accelerate futureengagements.\nEffectively engineer APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components.\nIntegrate with legacy systems, navigate ambiguity, and deploy at pace.\nCodify patterns - build scaffolds, SDKs, and documentation to scale across Mars Segments.\nInform product strategy through tested insights and extensible code.\nEngage, negotiate and influence internal stakeholders to establish priorities in line with thehighest business impact.\nShape internal tooling and integrate into platform roadmap and primitives.\nProvide Engineering leadership and win trust of architects, PMs, and business stakeholders\nEnsures the key handoffs and interdependencies, 3rd party firms and business stakeholders to ensure successful value delivery, and ability to scale.\nDefine solutions for Mars business processes with clear articulation of business case and ROI.\nIdentify the capability gaps that are hindering progress and propose solutions to address them.\nResponsible for operational excellence and service management across business segments, services and capabilities.\nResponsible for deploying environments and assigning digital workers in all stages of the automation development lifecycle.\nManage capacity and utilization of servers, users, and credentials to ensure no delays for any automation projects.\nDesign, maintain and oversee governance and control processes in collaboration with Security, Controls, Enterprise Architecture, and Identity teams.\nTraining, support and consultation for partners, federated users, and key stakeholders\nJob Specifications/Qualifications\nExperience in integrating AI into work processes and use case problem-solving. This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI’s potential impact on the function or business segment\nRelevant Experience: 10+ years of software engineering, including 3+ years building systems in customer-facing or embedded roles.\nSystem architecture: Proven ability to design and implement AI-native software in production environments.\n Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL).\nLLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management.\nPerformance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring.\nPlatform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org.\nProduct sensibility: Prioritize for user value, MVP iteration, and long-term scale.\nDevOps fluency: Experience deploying in Azure, or GCP with CI/CD, containers, and infra-as-code.\nAbility to manage the coordination and governance of 3rd party strategic partner talent\nnetworks.\n What can you expect from Mars?\nWork with diverse and talented Associates, all guided by the Five Principles.\nJoin a purpose driven company, where we’re striving to build the world we want tomorrow, today.\nA strong focus on learning and development support from day one, including access to our in-house Mars University.\nAn industry competitive salary and benefits package, including company bonus.","description_format":"text","description_chars":4482,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Pet Food, Supplies & 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