{"id":3814705,"url":"https://alion.io/job/banyan-software-forward-deployed-engineer-applied-ai","title":"Forward Deployed Engineer - Applied AI","company":{"id":668821,"name":"Banyan Software","domain":"banyansoftware.com","url":"https://alion.io/company/banyansoftware","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":13,"ghost_share":0,"stale_share":0.692,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"HIPAA","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Embeddings","optional":true},{"name":"FHIR","optional":true},{"name":"HL7","optional":true},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-05T14:16:25Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T00:26:01Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world.\nAbout the role\nForward Deployed Engineer, Applied AI\nMedicat builds MedicatOne, the EHR used by college health and counseling centers across the US. Banyan Software acquires and grows vertical software companies like ours, and we're investing in AI that reaches clinicians and students in production.\nThis is an engineering role first. You will write production code most days: LLM integrations, automations, data workflows and the APIs that connect them to MedicatOne. You'll also sit close to our clinic customers and internal teams, turning what you see in their workflows into working software, often in days, not quarters.\nIf you're happiest owning a roadmap and writing specs for others to build, this isn't the role. If you want to be the person who ships the feature, debugs it with the customer on the call, and hardens it for HIPAA, keep reading.\nWhat you'll do\nExpect roughly 70% hands-on engineering and 30% embedded with customers and internal teams.\nBuild and ship AI features end to end. Design, code, test and deploy LLM-powered features in MedicatOne: prompt design, tool calling, retrieval where it earns its place, and evaluation harnesses.\nPick the simplest reliable solution. Sometimes that's an LLM, often it's plain code.\nIntegrate with real clinical data. Write the services, SQL and data pipelines that move PHI safely between MedicatOne, customer systems and model providers.\nDeploy alongside customers. Join clinic implementation and discovery calls as the technical lead, scope what can be built, prototype against their data, and stay through go-live.\nEmbed with internal teams. Find and automate repetitive work, and help analysts and developers get the most out of AI tools.\nOwn production quality. Instrument, monitor and debug what you ship: latency, cost, accuracy and failure modes. Write evals so regressions are caught before customers see them.\nMake AI safe for healthcare. Implement HIPAA-compliant patterns for PHI handling, logging, access control, de-identification and vendor data boundaries.\nHarden internal tools. Review and productionize AI tools built by non-engineering teams before they touch customer data.\nFeed the roadmap with evidence. Bring back what you learned in the field as working prototypes and technical recommendations, not slide decks.\nWhat you bring\n3+ years as a software engineer shipping production code in B2B SaaS, with an individual-contributor track record. You still write code every week.\n Strong in at least one backend language (Python, C#/.NET or TypeScript/Node) and comfortable reading the others.\n Hands-on LLM API experience: you've shipped production features on LLM APIs (OpenAI, Anthropic, Azure OpenAI), including prompt design and function/tool calling, and you know when not to use one.\nEnd-to-end system design: you've designed a production system from the ground up, including data flow, security and multi-tenancy.\nSolid data skills: production SQL, schema design and data pipelines against relational databases.\nAPI and integration experience: REST API design, authentication, webhooks and third-party integrations.\n Production engineering habits: Git, code review, automated testing, CI/CD, and deploying to a major cloud (Azure or AWS).\nRegulated or sensitive data experience: you've built software that handles PHI, PII, financial or similarly protected data, with the access controls and audit trails it requires.\n Comfort with customers and colleagues: you can explain a technical trade-off to a clinic director or an analyst, then go build it.\nAuthorized to work in and resides in the US; we can't sponsor visas.\nNice to have\nRAG, embeddings and vector databases (pgvector, Pinecone or similar), plus the judgment to know when retrieval is worth the complexity\nHL7 v2, FHIR or EHR integration experience (we can teach this)\nHIPAA experience specifically\nPrior Forward Deployed, Solutions Engineering or implementation-engineering experience at a software company\nLLM evaluation and observability tooling (e.g., LangSmith, Langfuse, custom eval suites)\nAgent frameworks or the Model Context Protocol (MCP)\nCollege health, student health or behavioral health software\nOpen-source contributions or a public portfolio of shipped AI projects\nDiversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.\nPlease Note: Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed.\n Recruitment Notice\nBanyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation.\nBeware of Recruitment Scams\nWe have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. \nProtect yourself by following these steps:\nVerify that all communications from our recruiting team come from an @banyansoftware.com email address.\nRemember, employers will never request payment or banking information during the hiring process.\nIf you receive a suspicious message, do not respond - instead, forward it to  and/or report it to the platform where you received it.\nYour safety and security are important to us. 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