{"id":4341246,"url":"https://alion.io/job/clera-forward-deployed-engineer-76","title":"Forward Deployed Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-15T17:08:35Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T18:29:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin an early-stage enterprise AI infrastructure team as its technical lead for customer engagements across the UK and Europe. You will connect customer needs with product and engineering, owning engagements from discovery through production deployment and helping establish the team's field delivery approach.\nWhat You'll Do\nExplore customer data architectures and constraints, and explain how AI agents can use enterprise data effectively.\n\nScope and deliver proofs of value from initial discovery and technical validation through production commitments.\n\nLead product demonstrations, address technical objections, and discuss architecture with senior engineers and technology leaders.\n\nRun technical discovery sessions with data platform, infrastructure, and executive stakeholders across European markets.\n\nDevelop reusable pre-sales materials, including discovery frameworks, demo narratives, and reference architectures.\n\nTurn customer constraints and edge cases into actionable product feedback for engineering teams.\n\nPartner with machine learning and infrastructure teams to deliver deployments that meet customer expectations.\n\nWhat We're Looking For\nAt least 5 years of professional experience, including 2 to 3 years building software or data systems in a hands-on technical role.\n\nExperience in forward-deployed engineering, deployment strategy, solutions architecture, or customer-facing data and AI delivery.\n\nA record of personally taking enterprise technical proofs of value into production commitments, including experience with procurement, security reviews, and multi-stakeholder buying processes.\n\nStrong knowledge of modern data platforms, including warehouses, ETL/ELT pipelines, and data governance.\n\nWorking knowledge of production LLM and agentic systems, with sound judgment about their capabilities and limitations.\n\nProficiency in Python or SQL for customer-facing prototyping, and the ability to translate technical needs into useful product feedback.\n\nExperience with knowledge graphs, semantic layers, ontologies, or entity resolution is helpful. Regulated or air-gapped deployments, startup environments, and multilingual or cross-European customer work are also valuable.\n\nWillingness to travel regularly to customer sites across the UK and Europe.\n\nLocation\nHybrid, New York, United States, with regular travel to customer sites across the UK and Europe. 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