{"id":3591447,"url":"https://alion.io/job/true-talent-solutions-partners-forward-deployed-engineer-36","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":"structured","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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false}],"status":"closed","first_seen_at":"2026-11-01T17:43:43Z","employer_posted_date":"2026-11-01","last_verified_at":"2026-11-05T21:06:42Z","board_verified":false,"closed_at":"2026-11-05T21:06:42Z","days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nJoin an enterprise AI risk and security team, working directly with customers to deploy AI systems in complex environments. You will own deployments from technical discovery through production readiness, while turning lessons from customer work into improvements that make future deployments more scalable. The role is based in New York or London and is suited to either a hands-on individual contributor or an engineer ready to build and lead a team.\nWhat You'll Do\nOwn end-to-end enterprise customer deployments, from discovery and scoping through production readiness and handoff.\n\nConfigure and troubleshoot Kubernetes, Helm, infrastructure, networking, identity, observability, and scaling in customer environments.\n\nDevelop reusable tools, deployment patterns, and playbooks from recurring customer challenges.\n\nWork with customer engineering, security, compliance, and operations stakeholders to unblock deployments.\n\nPartner with product and engineering teams to share deployment insights and inform platform improvements.\n\nFor the team-building position, establish and grow the forward deployed engineering function.\n\nWhat We're Looking For\nAt least 2 years of customer-facing experience in engineering, solutions engineering, forward deployment, or technical deployments.\n\nHands-on DevOps experience, including personally operating production Kubernetes clusters and deploying with Helm.\n\nWorking knowledge of agentic workflows and enterprise LLM deployment patterns.\n\nExperience independently owning complex deployments and communicating effectively with enterprise technical teams and senior business stakeholders.\n\nFor the team-building position, a track record or credible trajectory in building and leading a technical team.\n\nExperience with regulated-industry AI, customer-owned or on-premises infrastructure, networking, observability, incident response, or AWS, GCP, or Azure is a plus.\n\nCompensation & Benefits\nBase salary: $165,000 to $215,000 USD annually. Visa sponsorship is not available.\nLocation\nOn-site in New York, New York, or London, United Kingdom. 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