{"id":3990916,"url":"https://alion.io/job/eqt-ai-engineer-iiiiii","title":"AI Engineer I/II/III","company":{"id":673099,"name":"EQT","domain":"eqtcorporation.com","url":"https://alion.io/company/eqtcorporation","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Human-in-the-Loop","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-11-09T20:29:34Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T23:22:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At EQT, you won't just do a job, you'll help shape our future. Through Transparent Leadership, you'll work alongside leaders who value collaboration and ensure every voice is heard. Through Connected Impact, you'll see how your work influences critical business decisions and drives value across our operations. Through Supported Growth, you'll have opportunities to expand your skills through cross-functional collaboration, development opportunities, and career advancement.\nJoin our Qrew! \nEQT is building a fleet of AI agents that work alongside our people, and we need an AI Engineer to help it grow. You'll join an AI team that builds the shared tools agents rely on, configures and deploys the agents themselves, and keeps the whole fleet healthy once it's live.\nOur agents already run in production on Microsoft Foundry, posting into Salesforce and the enterprise systems our people use every day. The next step is scale: many more agents, built faster, with business users helping tune them.\nAs an AI Engineer, you build and maintain the capabilities our agents run on, and you monitor and optimize the agent fleet once it's in production. You set up the configuration for each prompt agent and customize its tools. Then you hand off to AI Specialists and domain experts, who test against real cases and tune the prompts until the agent is right.\nWhen reasoning alone can't do the job reliably, you build a pro-code hosted agent or specialized tooling. That's the exception, not the plan.\nWho thrives here:\nYou think agentically. You trust reasoning models to do most of the heavy lifting, and you reach for deterministic code where the outcome must be guaranteed, not by default. \nYou build for flexibility. You'd rather ship an agent that improves as models get better and cheaper than hardcode every scenario and fall behind. \nYou favor progress over perfection. You'd rather get many useful agents live and improve them than polish one forever. \nYou make others better. You enjoy building the tools and patterns that let business users and new builders do more on their own. \nYou're excited about where AI is going. You follow the field, try new models and tools as they land, and want to help an organization change how it works. \nThe AI Engineer I/II/III responsibilities include but are not limited to:\nBuild and maintain shared agent tools and capabilities.\nConfigure Foundry prompt agents: instructions, model selection, tool assignments, permissions, and guardrails, ready for others to test and tune.\nCustomize and extend tools when an agent needs something the shared set doesn't yet cover.\nPartner with AI Specialists and domain experts as they test against real cases, and coach them on prompt design and evaluation.\nDeploy agents and monitor the fleet through the Foundry control plane: evaluations, monitoring and alerts, audit trail, and cost.\nOptimize agents in production, and recognize when a deployment is drifting or needs tighter guardrails, better data, or a narrower scope.\nBuild pro-code hosted agents or specialized tooling when review shows a prompt agent can't do the job reliably.\nEnsure agents adhere to our security and identity standards.\nHelp shape the Agent Factory standards and share what you learn, so the next agent is faster to build than the last.\nStay current with models, agent frameworks, and Foundry features, and bring forward ideas that move more work from code to reasoning.\nRequired Experience and Skills:\nBachelor's degree in a technical discipline (computer science, engineering, information systems, or similar), or an equivalent combination of education and experience.\n3+ years of professional experience in software engineering, data engineering, or AI/ML roles.\nHands-on experience building LLM-based agents or applications: prompt design, tool calling, retrieval, and evaluating outputs against real cases.\nSolid software engineering fundamentals in Python, including git, code review, testing, and working with APIs.\nWorking experience with Microsoft Azure or a similar cloud platform, including identity, permissions, and secrets management.\nComfort working across enterprise systems and data, including SQL and integrating with platforms like Salesforce and Databricks.\nJudgment about when code is the right answer versus when a well-designed prompt and the right tools are simpler and just as successful.\nClear communicator who can explain technical tradeoffs to business partners and coach non-engineers as they test and tune agents.\nPreferred Experience and Skills:\nExperience with Microsoft Foundry (Azure AI Foundry): prompt agents, hosted agents, tools, evaluations, and the control plane.\nExposure to agent frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Semantic Kernel, or similar.\nWorking knowledge of Salesforce (configuration, security model, Flow) and the Databricks ecosystem (Unity Catalog, Databricks SQL).\nExperience operating AI in production: monitoring, evaluation harnesses, cost tracking, and responsible AI practices such as PII handling, guardrails, and human-in-the-loop review.\nRemote work is being considered for this role excluding the following states: California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee unless willing to relocate.\nSelected incumbent will be placed into the position that best suits their abilities and experience level.\nEQT Corporation and its subsidiaries is an Equal Opportunity Employer -- Disabilities/Veterans.","description_format":"text","description_chars":5532,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Fossil Fuels","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-11-09T23:22:06Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}