GenAI Solutions Engineer - AWS & Enterprise Impact

Deloitte France

Indianapolis (IN)

On-site

USD 189,000 - 373,000

Full time

14 days+
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Job summary

Deloitte's Forward Deployed Engineers (FDE) help clients turn AI ambition into enterprise-scale impact by pairing engineering with pod-based delivery and domain expertise. As an AWS AI & Data FDE, you will prototype and deliver GenAI-enabled solutions, collaborating with senior client teams to achieve measurable outcomes from day one.

You will embed with clients to translate high-value use cases, design scalable patterns, ensure production readiness with testing, CI/CD, and thorough

Qualifications

  • Bachelor's degree in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with AWS AI&D including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Responsibilities

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Skills

GenAI/LLM solutions
AWS AI&Data
Cloud architecture
Client engagement
Software engineering
Project leadership

Education

Bachelor's degree in Computer Science, Data Science or Engineering

Tools

Bedrock
Strands Agents SDK
Knowledge Bases
Guardrails
Neptune
OpenSearch

Job description

Deloitte's Forward Deployed Engineers (FDE) help clients turn AI ambition into enterprise-scale impact by pairing engineering with pod-based delivery and domain expertise. As an AWS AI & Data FDE, you will prototype and deliver GenAI-enabled solutions, collaborating with senior client teams to achieve measurable outcomes from day one.

You will embed with clients to translate high-value use cases, design scalable patterns, ensure production readiness with testing, CI/CD, and thorough

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