{"id":1492824,"url":"https://alion.io/job/epam-systems-poland-chief-forward-deployed-engineer","title":"Chief Forward Deployed Engineer","company":{"id":2612641,"name":"EPAM Systems Poland","domain":"epam-poland.pl","url":"https://alion.io/company/epam-poland","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Phoenix, United States"],"countries":["US"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":156000,"max_usd":305000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Tool Use","optional":false},{"name":"A/B Testing","optional":true},{"name":"A2A","optional":true},{"name":"Agile","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"Databricks","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"NLP","optional":true},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:10:30Z","employer_posted_date":null,"last_verified_at":"2026-09-30T00:10:30Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for a Chief Forward Deployed Engineer to build AI-native solutions where LLM and its harness are the core of the value. This is a builder's role: you and your team are responsible for building agentic systems, writing the production code, and standing up the evals and observability. You will work closely with SMEs and end-users to understand where the real value lies, and you will design the feedback loops.\nResponsibilities\nDesign, build, and ship AI-native systems E2E - agents, workflows, RAG, and the harness: custom tool calling, sandboxing, context engineering and sub-agents, caching, compaction\nBuild the evaluation pipelines and use them to prove the system is genuinely useful\nDesign for failure in the agent loop: retries, model fallbacks, cost limits, and human-in-the-loop on consequential actions\nCapture domain expertise and repeatable workflows - so what works on one engagement carries to the next\nEngage early, to help shape the use case and check technical feasibility\nWrite production-grade Python: integrations, APIs, data access, deployment\nWork directly with SMEs and end-users - interviews, UAT, observing the real workflow - and validate that the system fits how people actually work\nRequirements\n7+ years of engineering experience, with a strong recent track record building production AI / LLM applications (not prototypes or research only)\nStrong agent-design judgment - task-harness fit, matching the harness to the context, failures, and policies of the actual task rather than calling a model in a loop\nThe ability to operate close to the client: lead discovery and feasibility conversations, work directly with SMEs and end-users, and explain technical trade-offs to both technical and non-technical audiences\nHands-on experience with agentic frameworks (LangChain, LangGraph, Semantic Kernel, or similar) and major LLM providers (OpenAI, Anthropic, Google Gemini)\nExpert-level Python and solid software engineering fundamentals\nStrong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking, and context management\nProven experience evaluating generative AI quality - LLM-based evaluation, heuristics, custom eval frameworks - and using observability/tracing tools (LangSmith, Arize Phoenix, Langfuse, or similar)\nProduction deployment experience on at least one major cloud (AWS, Azure, or GCP) with containerization, CI/CD\nSound judgment under ambiguity - scoping, sequencing, and making the call on speed vs. quality vs. scope\nEnglish at C1 level\nNice to have\nExperience designing experiments, A/B testing, and iterating on AI products against real user behavior and business metrics\nBackground in NLP, Data Science, or applied ML, with experience moving models into production\nFamiliarity with MCP, A2A, Agent Skills, and emerging agent standards\nExperience with enterprise AI platforms (AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry, Gemini Enterprise)\nExposure to AI governance, security, and compliance (guardrails, prompt-injection prevention)\nPrior client-facing or pre-sales exposure in a consulting or services context\nWe offer\nWe gather like-minded people:\nTop tech minds driving innovation in AI, cloud and digital platform modernization\nSupportive team and agile, startup-like culture\nHybrid by design mode and opportunity to work remotely within Poland\nChance to work abroad for up to 60 days annually\nBusiness-driven relocation opportunities\n\nWe provide growth opportunities:\nCareer development programs\nThought leadership, mentoring, soft skills and well-being programs\nCertification (Anthropic, Gemini, GCP, Azure, AWS)\nEnglish classes\n\nWe cover it all:\nStable pay\nParticipation in the Employee Stock Purchase Plan with a 15% discount\nBenefits package (health insurance, multisport, shopping vouchers)\nReferral bonuses up to $2,000\nOffices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more\nCorporate, social and well-being events\n\nPlease, note:\nBenefits listed above are available to employees only\nWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually\nWe will reach out to selected candidates exclusively\n\nEPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.","description_format":"text","description_chars":4579,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Growth opportunities","Health insurance"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-30T01:11:03Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":44,"reasons":["seen:0","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/epam-systems-poland-chief-forward-deployed-engineer","json_url":"https://alion.io/job/epam-systems-poland-chief-forward-deployed-engineer.json","meta":{"generated_at":"2026-10-01T02:49:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2189,"day_limit":5000,"remaining_today":2811,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}