{"id":3884841,"url":"https://alion.io/job/true-talent-solutions-partners-forward-deployed-engineer-46","title":"Forward Deployed Engineer","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":165000,"max":215000,"currency":"USD","period":"year","gross":null,"usd_annual":215000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false}],"status":"live","first_seen_at":"2026-11-06T18:03:24Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T01:51:07Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the Role\nJoin a team deploying enterprise AI systems in complex customer environments. You will own implementations from technical discovery through production readiness, helping turn deployment challenges into reusable practices that support secure, reliable AI adoption. The opportunity suits either a hands-on individual contributor or an engineer ready to build and lead a team.\nWhat You'll Do\nOwn customer deployments from technical discovery and scoping through production readiness and handoff.\n\nConfigure and troubleshoot Kubernetes, Helm, infrastructure, networking, identity, observability, and scaling in customer environments.\n\nDeploy and configure LLMs and agentic workflows in production.\n\nTurn recurring deployment issues into reusable tooling, patterns, and playbooks.\n\nWork directly with engineering, security, compliance, and operations stakeholders to resolve technical blockers.\n\nPartner with product and engineering teams to share deployment learnings and inform platform improvements.\n\nFor the team-building opportunity, help establish and lead the forward deployed engineering function.\n\nWhat We're Looking For\nAt least 2 years of hands-on, customer-facing engineering experience, including ownership of enterprise deployments from discovery through production readiness.\n\nProduction experience with Kubernetes, DevOps deployments, LLMs, and agentic workflows.\n\nPractical experience configuring and troubleshooting Helm, infrastructure, networking, identity, and observability.\n\nAbility to work directly with enterprise technical and operational stakeholders, including security and compliance teams.\n\nExceptional individual contributor experience or experience building a team as an early hire.\n\nExperience with regulated enterprise or infrastructure environments, AI governance, enterprise SaaS implementation, or consulting is valuable.\n\nCompensation & Benefits\nBase salary: $165,000 to $215,000 annually. Visa sponsorship is not available.\nLocation\nOn-site in New York, New York. 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