Applied AI Engineer I

Applied AI Engineer I in Chicago, IL (onsite) at Deloitte, holding a Bachelor's degree, with a salary range of USD 84,300 - 155,400 per year, focuses on integrating GenAI and agentic capabilities into full-stack products.

Responsibilities

• Outcome driven accountability: own and promote a culture focused on customer and business outcomes, including managing the cost of achieving them. design lean, high-quality solutions that solve complex problems and take responsibility for inference, tokens, and cloud costs.
• Technical leadership and advocacy: act as the technical champion for products, ensuring code integrity, feasibility, and alignment with business and customer goals. contribute to requirement analysis, component design, development, testing, integrations, and support.
• Engineering craftsmanship: uphold code-design integrity and adherence to architecture and tech stack; ensure quality, data integrity, and ongoing maintenance and operations. stay hands-on, proactive, and continuously learn new languages and frameworks. create technical specifications and deliver scalable, maintainable code that meets quality KPIs. collaborate effectively with diverse teams.
• Customer centric engineering: develop lean engineering solutions through rapid, low-cost experimentation to address customer needs. engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Incremental and iterative delivery: prioritize action and evidence over extensive planning; navigate complexity with a forward-leaning approach to deliver lean, maintainable solutions.
• Cross functional collaboration and integration: work with empowered, cross-functional teams including product management, experience, and delivery. integrate diverse perspectives to balance feasibility, viability, usability, and value. foster a collaborative environment that enhances team synergy and innovation.
• Advanced technical proficiency: build expertise in modern software engineering practices and AI driven agentic SSDLC to enable daily product deployments with full automation from discovery to production to operations, including quality checks throughout the SSDLC lifecycle. model these techniques to optimize solutioning and delivery.
• Domain expertise: rapidly acquire domain knowledge relevant to the business or product. translate business and user needs, architectures, and UI/UX designs into technical specifications and code. be a flexible, quality-focused team member committed to quality and reducing tech debt.
• Effective communication and influence: demonstrate exceptional communication skills to articulate complex technical concepts clearly. influence teammates and product teams with evidence-based trade-offs and coherent narratives that align technical solutions with business objectives.
• Engagement and collaborative co-creation: engage with product engineering teams at all levels, including customers as needed. build and maintain constructive relationships that foster co-creation and momentum toward product goals. align diverse perspectives and drive consensus to deliver feasible solutions.

Requirements

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

Technologies

• Angular, React, NodeJS, Python, C#, .NET, Java
• SQL/NoSQL, PyTorch, TensorFlow
• LangChain, LangGraph, MLflow, LangFuse, LangSmith
• OpenAI, Anthropic, Vertex AI, Azure OpenAI, AWS Bedrock
• Azure, AWS, GCP
• RAG pipelines, vector databases, prompt engineering, multi-agent orchestration tools

Benefits

• Discretionary annual incentive program

The Team

US Deloitte Technology Product Engineering has modernized software and product delivery to create a scalable, cost-effective model focused on value and outcomes. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations, backed by proven bottom-line results and outcomes that power Deloitte's success.