{"id":3819612,"url":"https://alion.io/job/shermco-industries-ai-forward-deployed-engineer","title":"AI Forward Deployed Engineer","company":{"id":1827143,"name":"Shermco Industries","domain":"shermco.com","url":"https://alion.io/company/shermco","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Irving, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Function Calling","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-11-05T17:12:57Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-09T17:38:42Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Overview\nJob Title: Forward Deployed AI Engineer Location: Hybrid, Dallas/Las Colinas office (approximately 10% travel)Department: Information Technology, Data & AIReports To: Sr. Director, Data & AI\nJob Overview\nWe are hiring a Forward Deployed AI Engineer to embed with Shermco business units, find where AI can change how work gets done, and build the solutions that prove it. You will spend real time with teams in field operations, estimating, sales, finance, HR, and other functions, learning how their work actually happens before deciding what to build.\nThis is a builder role, not an advisory one. You will move quickly from discovery to a working solution, put it in front of users, and iterate until it delivers measurable value. You take low-code and configuration solutions built on Copilot Studio, Power Platform, and Microsoft Fabric all the way to production, each with a named business owner. Work that needs extensive custom code or a complex agent goes to the AI Product Engineer. You will be judged on adoption and business outcomes, not on the number of demos produced.\nThe role sits on the Data & AI team and reports to the Sr. Director, Data & AI. You will work closely with the AI Product Engineer, who builds the solutions that need custom code or complex agents, and with data engineering, analytics, and governance colleagues who provide the platform, data, and controls your work depends on. In short, you find the problem, prove the value, and ship most solutions yourself; the AI Product Engineer takes on what needs custom engineering.\nYour customers are internal Shermco teams. Success means business units seek you out because your work has made their jobs measurably easier.\nWork Authorization Requirement: Candidates must be legally authorized to work in the United States without current or future employer sponsorship. Shermco does not provide visa sponsorship for this position.\nResponsibilities\nEmbedded Discovery\nWork with stakeholders at every level, from technicians and field crews to managers and directors to VPs and executive leadership, to understand day-to-day workflows, team needs, and larger organizational initiatives.\nTurn vague requests into scoped, written problem statements, and identify and size AI opportunities by the time, cost, risk, or revenue they could affect, and recommend where AI is not the right answer.\nBuild trusted working relationships with business leaders and front-line users so the team hears about problems early.\nBuild and Delivery\nBuild solutions quickly using Copilot Studio, Azure AI Foundry, Microsoft Fabric, Power Platform, Claude, Python, and other approved AI tools and models.\nIntegrate with operational systems such as Salesforce, on-premises Business Central, Dayforce, and field service platforms to put AI where work already happens.\nPut solutions in front of real users early, gather feedback, and iterate toward measurable outcomes.\nAgree on success measures with business owners before building, track results after launch, and recommend changing course or stopping work that is not delivering value.\nProduction Ownership and Handoff\nTake low-code and configuration solutions on Copilot Studio, Power Platform, and Fabric all the way to production, each with a named business owner, documentation, and evaluation cases, and support them in production, including a light shared support rotation for business-critical solutions.\nHand off solutions that need extensive custom code or a complex agent to the AI Product Engineer, packaged with documentation, known limitations, and data and access requirements.\nPartner with the Data & AI Governance Engineer so every solution follows data access, security, and responsible AI standards from the start.\nAdoption and Enablement\nOwn adoption after launch through training, office hours, champions in the business unit, and follow-up on usage.\nTeach business users to recognize good AI use cases and to use approved AI tools effectively and safely.\nBring field insight back to the Data & AI team to shape the roadmap, reusable components, and priorities.\nTeam Practice\nUse AI-assisted development throughout your own work while remaining accountable for accuracy, security, and maintainability.\nContribute reusable patterns, prompts, templates, and lessons learned to team standards.\nShare knowledge, provide peer review, and help shape Shermco's broader AI strategy.\nQualifications\n5+ years of experience in software engineering, data engineering, applied machine learning, solutions engineering, or a related technical role, including 2+ years building AI or LLM-based solutions used in production.\nStrong Python and SQL skills, plus experience integrating with REST APIs and enterprise systems.\nHands-on experience building with LLMs, including prompt design, retrieval-augmented generation, tool use, and basic evaluation.\nExperience with a cloud AI platform such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI.\nDemonstrated ability to run discovery with stakeholders from front-line staff to executive leadership and translate ambiguous problems into scoped, buildable solutions.\nA track record of shipping quickly, measuring results, and iterating based on user feedback.\nClear written and verbal communication, including explaining AI capabilities, limits, and risks to non-technical audiences.\nComfort working independently, traveling to business unit locations (approximately 10%), and managing several engagements at once.\nPreferred\nExperience in a forward deployed, solutions engineering, internal consulting, or embedded product role.\nExperience with Copilot Studio, Microsoft Fabric, Power Platform, or Microsoft Foundry.\nExperience with agent frameworks and protocols such as Microsoft Agent Framework, Semantic Kernel, LangGraph, or Model Context Protocol (MCP).\nPractical experience using Claude, ChatGPT, GitHub Copilot, or comparable AI tools to accelerate development.\nExperience with Salesforce, on-premises Business Central, Dayforce, or field service management platforms.\nExperience with document intelligence, unstructured data, or speech and image use cases.\nLight front-end or low-code app building experience for prototypes.\nBackground in construction, electrical, field services, or another operations-heavy industry.\nMicrosoft certification such as AI-102 or AI-900.\nWhat We Offer\nA fast-growing Data & AI department where you will shape how AI is applied across the company\nA small, senior team with real ownership and direct access to leaders in every business function\nCurrent AI tooling across the Microsoft stack and Claude, with an operating model that favors speed and enabling governance over process for its own sake\nWork that shows up in how a real-world business estimates, schedules, and delivers\nEQUAL OPPORTUNITY EMPLOYER | DRUG-FREE WORKPLACE\nShermco is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Shermco is a drug-free workplace.\nNO AGENCIES PLEASE\nPay Range\nUSD $130,000.00 - USD $140,000.00 /Yr.","description_format":"text","description_chars":7192,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Testing, Inspection & Certification","Electrical Equipment & Cables"],"lifecycle":[{"event":"open","at":"2026-11-05T17:12:57Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":15,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":142500,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)","Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":15,"reasons":["conf:2","win:early"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/shermco-industries-ai-forward-deployed-engineer","json_url":"https://alion.io/job/shermco-industries-ai-forward-deployed-engineer.json","meta":{"generated_at":"2026-11-09T20:06:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6905,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1827143},"rest":"https://alion.io/mcp/rest/get_company?id=1827143"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fshermco-industries-ai-forward-deployed-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fshermco-industries-ai-forward-deployed-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fshermco-industries-ai-forward-deployed-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/shermco-industries-ai-forward-deployed-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fshermco-industries-ai-forward-deployed-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3819612}},{"tool":"search_jobs","arguments":{"company":"shermco.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3819612},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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