{"schemaVersion":"jobsearcher.job.v1","id":"b8f2c8d47486fbdfa9e0912d","url":"https://jobsearcher.com/jobs/b8f2c8d47486fbdfa9e0912d","canonicalUrl":"https://jobsearcher.com/jobs/b8f2c8d47486fbdfa9e0912d","title":"Senior Forward Deployed Engineer, Microsoft AI & Data","description":"At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading‑class engineering with pod‑based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem‑solving, and client impact, this role puts you at the forefront of AI transformations.\n\nWork you’ll do\nAs a Senior Microsoft AI & Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high‑impact GenAI‑enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:\n\nClient Engagement\n\nEmbed with clients to identify business needs and translate high‑value GenAI use cases into solutions.\n\nPartner with leaders, product owners, architects, and engineers to align priorities and delivery.\n\nLead working sessions to shape solutions and drive client outcomes.\n\nPrototype and deliver working AI solutions using industry expertise and emerging capabilities.\n\nContribute independently within an FDE pod while mentoring newer team members.\n\nCoach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long‑term engagement success.\n\nDrive end‑to‑end sales and delivery support by developing demos/POCs, contributing to proposals and orally, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.\n\nStrengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.\n\nSolution Engineering\n\nBuild AI‑enabled solutions, agentic platforms, and workflows across enterprise AI platforms.\n\nDevelop scalable AI engineering patterns, tool‑use approaches, and human‑in‑the‑loop controls.\n\nApply architecture decisions that balance quality, safety, latency, cost, and model risk.\n\nDeliver production‑quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.\n\nDesign extensible functionality, support sprint sizing, and align solutions with senior team members.\n\nContribute reusable assets including code, prompt libraries, runbooks, and reference implementations.\n\nThe Team\nAI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client’s unique requirements.\n\nRequired qualifications\n\nBachelor’s degree (or equivalent) in Computer Science, Data Science or Engineering.\n\n5+ years of experience in software engineering, data engineering, data science, or analytics engineering.\n\n1+ years of hands‑on experience building and deploying GenAI/LLM‑powered solutions in client or production environments.\n\n1+ years of experience with Microsoft AI & Data including hands‑on experience with Azure AI Foundry.\n\n1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.\n\n1+ years of experience building reliable, maintainable, and well‑documented code.\n\nAbility to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.\n\nLimited immigration sponsorship may be available.\n\nPreferred qualifications\n\nExperience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).\n\nDemonstrated ability to work directly alongside client technical teams and program stakeholders in fast‑paced, ambiguous delivery environments.\n\nData engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.\n\nExperience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.\n\nExperience integrating LLM solutions with enterprise systems via APIs, microservices, or event‑driven architectures.\n\nExperience operating within hybrid onshore/offshore teams.\n\nFamiliarity with security, privacy, and compliance considerations.\n\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $130,800 - $241,000.\n\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\n\n#J-18808-Ljbffr","company":"PowerToFly","rawCompany":"powertofly","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-06-17T03:31:34.198Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Forward Deployed Engineer, Microsoft AI & Data","description":"At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading‑class engineering with pod‑based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem‑solving, and client impact, this role puts you at the forefront of AI transformations.\n\nWork you’ll do\nAs a Senior Microsoft AI & Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high‑impact GenAI‑enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:\n\nClient Engagement\n\nEmbed with clients to identify business needs and translate high‑value GenAI use cases into solutions.\n\nPartner with leaders, product owners, architects, and engineers to align priorities and delivery.\n\nLead working sessions to shape solutions and drive client outcomes.\n\nPrototype and deliver working AI solutions using industry expertise and emerging capabilities.\n\nContribute independently within an FDE pod while mentoring newer team members.\n\nCoach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long‑term engagement success.\n\nDrive end‑to‑end sales and delivery support by developing demos/POCs, contributing to proposals and orally, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.\n\nStrengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.\n\nSolution Engineering\n\nBuild AI‑enabled solutions, agentic platforms, and workflows across enterprise AI platforms.\n\nDevelop scalable AI engineering patterns, tool‑use approaches, and human‑in‑the‑loop controls.\n\nApply architecture decisions that balance quality, safety, latency, cost, and model risk.\n\nDeliver production‑quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.\n\nDesign extensible functionality, support sprint sizing, and align solutions with senior team members.\n\nContribute reusable assets including code, prompt libraries, runbooks, and reference implementations.\n\nThe Team\nAI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client’s unique requirements.\n\nRequired qualifications\n\nBachelor’s degree (or equivalent) in Computer Science, Data Science or Engineering.\n\n5+ years of experience in software engineering, data engineering, data science, or analytics engineering.\n\n1+ years of hands‑on experience building and deploying GenAI/LLM‑powered solutions in client or production environments.\n\n1+ years of experience with Microsoft AI & Data including hands‑on experience with Azure AI Foundry.\n\n1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.\n\n1+ years of experience building reliable, maintainable, and well‑documented code.\n\nAbility to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.\n\nLimited immigration sponsorship may be available.\n\nPreferred qualifications\n\nExperience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).\n\nDemonstrated ability to work directly alongside client technical teams and program stakeholders in fast‑paced, ambiguous delivery environments.\n\nData engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.\n\nExperience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.\n\nExperience integrating LLM solutions with enterprise systems via APIs, microservices, or event‑driven architectures.\n\nExperience operating within hybrid onshore/offshore teams.\n\nFamiliarity with security, privacy, and compliance considerations.\n\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $130,800 - $241,000.\n\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T03:31:34.198Z","dateModified":"2026-06-17T03:31:34.198Z","hiringOrganization":{"@type":"Organization","name":"PowerToFly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b8f2c8d47486fbdfa9e0912d"},"url":"https://jobsearcher.com/jobs/b8f2c8d47486fbdfa9e0912d"}}