Applied AI Engineer (AWS) - Software Specialist Engineer II
DeloitteAbout the role
Home/Jobs/Applied AI Engineer (AWS) - Software Specialist Engineer II
Applied AI Engineer (AWS) - Software Specialist Engineer II
Deloitte
United state
6+ years
Today
$33.7K–44.6K/yr
Full-time
Onsite
Skills Required
LLM
RAG
LangChain
OpenAI
Anthropic
Azure OpenAI
Vector Database
Prompt Engineering
LangGraph
PyTorch
TensorFlow
Angular
React
Node.js
Python
Description
Applied AI Full Stack Engineer II (AWS) role focused on building and enhancing high-visibility full-stack products with applied AI capabilities. The position emphasizes outcome-driven engineering, cross-functional collaboration, and delivery from concept through production.
Company: Deloitte
Role: Applied AI Engineer II
Location: Same job available in 2 locations
Experience
6+ years of experience with most of the listed full-stack technologies
3+ years of experience building AI/ML and agentic applications
3+ years of experience with cloud-native engineering on cloud hyperscalers
Experience with business context and technical diagramming concepts
Prior software engineering experience with object-oriented design, data structures, algorithms, and code instrumentation
Experience with AI-augmented spec-driven development
Experience with modern delivery methodologies and tools for rapid product delivery
Ability to travel 10% on average
Qualification
Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline
Responsibilities
Build and enhance high-visibility full-stack products
Drive customer and business outcomes with lean, high-quality engineering solutions
Own inference, token, and cloud cost of what you build
Serve as technical advocate for products
Lead requirement analysis, component design, development, testing, integrations, and support
Maintain code-design integrity and implementation fidelity to architecture and tech stack
Create technical specifications and high-quality, supportable, scalable code
Develop solutions through rapid, inexpensive experimentation
Engage with customers and product teams before, during, and after delivery
Work collaboratively with cross-functional teams to design, build, and ship products end to end
Translate business/user needs, architectures, and UX/UI designs into technical specifications and code
Collaborate with product engineering teams across organizational levels to build constructive relationships
Align diverse perspectives and drive consensus for feasible solutions
Additional Responsibilities
Ensure quality KPIs are met or exceeded
Own ongoing maintenance and operations
Continuously learn new approaches, languages, and frameworks
Favor action and evidence over extensive planning
Deliver lean, supportable, and maintainable solutions
Use AI and Agentic SSDLC to support daily product deployments with full automation from discovery to production to operations and quality checks
Quickly acquire domain-specific knowledge relevant to the business or product
Be supportive of teammates and focused on quality and tech debt payoff
Demonstrate exceptional communication and influence through evidence-based trade-offs
Foster a collaborative environment that enhances team synergy and innovation
Work within Deloitte Technology Product Engineering and its modernized product delivery model
Nice To Have
Limited immigration sponsorship may be available
More Skills
C#, .NET, Java, SQL, NoSQL, unit testing frameworks, LLM integration, open-source models, evaluations, AI agent orchestration, AWS, AWS Bedrock, Vertex AI, FaaS, PaaS, micro-services, application-level infrastructure-as-code, FinOps, XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, LangFuse, LangSmith, multi-agent orchestration tools, AI and Agentic SSDLC, full automation, full-stack software engineering, modern frameworks
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Responsibilities
- Build and enhance high-visibility full-stack products
- Drive customer and business outcomes with lean, high-quality engineering solutions
- Own inference, token, and cloud cost of what you build
- Serve as technical advocate for products
- Lead requirement analysis, component design, development, testing, integrations, and support
- Maintain code-design integrity and implementation fidelity to architecture and tech stack
- Create technical specifications and high-quality, supportable, scalable code
- Develop solutions through rapid, inexpensive experimentation
Qualifications
- Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline
Skills mentioned
About Deloitte
TopGenAIJobs is a curated job board for the generative AI ecosystem — LLM engineers, ML researchers, RAG developers, prompt engineers, AI product managers, and the full stack of roles building the next generation of AI products. Every listing is hand reviewed before going live. For candidates: free to search, filter by skill (LangChain, PyTorch, AWS, etc.), location, and work mode. Save jobs, get alerts, prepare with curated learning resources for each role. For employers: post free, boost for premium placement when you want extra visibility. Reach a candidate pool that's specifically there to work on AI. Visit topgenaijobs.com to browse the latest roles.