GenAI Applied Scientist and Solution Engineer

Deloitte • Dayton, OH

6d • $93,000 - $191,000 • Onsite

About The Position

The AI Transformation Team, part of the Applied AI Strategic Growth Market (AAI SGM), is dedicated to accelerating the adoption and delivery of agentic AI solutions within Deloitte. We work at the intersection of business and technology, rapidly evaluating, prototyping, and scaling AI-powered solutions that drive measurable value. The Applied AI SGM AI Transformation Team is seeking a GenAI Applied Scientist and Solution Engineer to join our intake solutioning team for top-prioritized agentic AI solutions in our Enterprise Solutions. You will support the end-to-end process for agentic AI solutions: use case intake, solution feasibility assessment, solution design, requirements gathering, technology and tooling selection, and initial prototyping. You will also serve as the link between business stakeholders and technical development teams, ensuring clear handoffs and robust solution foundations. This role requires a blend of traditional software engineering skills, cloud solution architecture experience, and hands-on expertise with generative AI models and agentic frameworks.

Requirements

• Strong analytical and problem-solving skills
• Software Engineering: Strong proficiency in Python and Git, grounded in core software engineering practice including modular design, API design, testing, code review, and CI/CD.
• Cloud Solution Architecture: Experience designing and deploying solutions on Azure, GCP, or AWS, including the security, integration, and cost considerations that shape design.
• Design Trade-offs and Technical Judgment: Ability to translate business objectives into technical options, and to explain the effort, risk, and value of each in terms stakeholders can act on, driving decisions on scope, sequencing, and architecture.
• Generative AI APIs: Hands-on experience integrating and orchestrating solutions using APIs from OpenAI, Anthropic, or similar providers.
• AI Tool Experience: Hands-on experience with AI tools like Claude and ChatGPT, ideally including code generation work with Claude Code, Codex, Cursor, etc.
• Agentic Frameworks: Familiarity with frameworks such as LangChain, LangGraph, Vertex AI Agent Development Kit, or OpenAI Agents SDK.
• Solution Evaluation: Ability to assess build vs. buy decisions, evaluate risk, data requirements, ROI, and timelines.
• Stakeholder Collaboration and Design Trade-offs: Experience working with business and technical stakeholders to prioritize and align solution opportunities, translating business objectives into technical options and explaining the effort, risk, and value of each in terms stakeholders can act on.
• Project and Team Leadership: Experience scoping and sequencing delivery work, managing timelines across concurrent intakes, coordinating handoffs with development teams, and mentoring less experienced engineers.
• Responsible AI and Risk: Familiarity with data privacy, confidentiality, and auditability requirements for enterprise AI, human-in-the-loop design, and agent-specific risks such as prompt injection and tool permission scope.
• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Nice To Haves

• Agent Interoperability (preferred): Exposure to emerging standards such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) for connecting agents to enterprise tools, data sources, and other agents.
• Full Solution Lifecycle (preferred): Experience taking solutions from intake through prototyping to deployment and adoption.

Responsibilities

• Support the end-to-end process for agentic AI solutions: use case intake, solution feasibility assessment, solution design, requirements gathering, technology and tooling selection, and initial prototyping.
• Serve as the link between business stakeholders and technical development teams, ensuring clear handoffs and robust solution foundations.
• Scoping and sequencing delivery work, managing timelines across concurrent intakes, coordinating handoffs with development teams, and mentoring less experienced engineers.

Benefits

• Discretionary annual incentive program
• Professional development opportunities
• Opportunities to build new skills
• Opportunities to take on leadership roles
• Mentorship opportunities
• On-the-job learning experiences
• Formal development programs

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed