Applied AI Engineer II - Encore Program

Join Deloitte's Encore Program as an Applied AI Engineer II to shape high-visibility full‑stack products that leverage GenAI and agentic capabilities in a client‑service environment. Expect a collaborative, growth‑driven culture that prioritizes tangible outcomes, with a competitive salary range of USD 102,500 to 188,900 per year and a discretionary annual incentive program. This onsite role is based in Dallas, TX, offering opportunities to work with leading technologies while delivering meaningful business impact.

Responsibilities

• Outcome‑Driven Accountability: champion customer and business outcomes while managing the cost of achieving them. design lean, high‑quality solutions and own inference, token, and cloud costs.
• Technical Leadership and Advocacy: act as the technical advocate for products, ensuring code integrity and alignment with business and customer goals. participate in requirement analysis, design, development, testing, integrations, and support.
• Engineering Craftsmanship: maintain design integrity and architectural alignment, ensure quality and maintainability, and contribute hands‑on engineering. continuously learn new approaches and write scalable, well‑documented code that meets quality KPIs. collaborate effectively with diverse teams.
• Customer‑Centric Engineering: develop lean solutions through rapid, inexpensive 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: favor action and evidence over extensive planning, delivering lean, maintainable solutions in evolving contexts.
• Cross‑Functional Collaboration and Integration: work with product management, experience, and delivery teams to balance feasibility, viability, usability, and value. foster a collaborative environment that drives innovation.
• Advanced Technical Proficiency: apply modern software engineering practices and AI/Agentic SSDLC to deliver automated deployments from discovery to production with integrated quality checks throughout the lifecycle.
• Domain Expertise: quickly acquire domain knowledge and translate business needs into technical specifications and code. be a flexible, quality‑Focused teammate who addresses tech debt responsibly.
• Effective Communication and Influence: articulate complex concepts clearly and influence peers and product teams with evidence and well‑structured trade‑offs that align technical solutions with business goals.
• Engagement and Collaborative Co‑Creation: collaborate with product engineering teams across organizational levels and with customers as needed, building constructive relationships that sustain momentum toward shared goals.

Requirements

• A bachelor’s degree in computer science, software engineering, data science, machine learning, or a related field; practical experience is the primary factor.
• 3+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph; plus unit testing frameworks.
• 2+ years building AI/ML and agentic applications, with hands‑on GenAI experience across LLM integration (OpenAI, Anthropic, or open‑source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
• 2+ years of cloud‑native engineering using FaaS, PaaS, or microservices on Azure, AWS, or GCP, including their AI/ML services (eg, Azure OpenAI, AWS Bedrock, Vertex AI) and infrastructure‑as‑code with cost‑aware engineering (FinOps).
• Experience with business and systems modeling concepts (BCD, sequence/activity/state/entity diagrams), OOP/OOD, data structures, algorithms, code instrumentation, and AI‑augmented spec‑driven development.
• Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (eg LangFuse, LangSmith, or similar multi‑agent orchestration tools) to deliver high‑quality products rapidly.
• Ability to travel approximately 10% depending on client needs and engagements.
• Limited immigration sponsorship may be available.
• Candidates must be located within a commutable distance to one of the select locations for this role.
• Ability to work in a local office at least 3 days per week.

Technologies

• Angular
• React
• NodeJS
• Python
• C#
• .NET
• Java
• SQL/NoSQL
• PyTorch
• TensorFlow
• LangChain
• LangGraph
• LangFuse
• LangSmith
• OpenAI
• Anthropic
• Azure
• AWS
• GCP
• Azure OpenAI
• AWS Bedrock
• Vertex AI
• MLflow
• GitHub
• SonarQube
• ADO

Benefits

• Discretionary annual incentive program

The Team

United States Deloitte Technology Product Engineering functions as Deloitte's core internal development hub. The team modernizes software and product delivery, focusing on value and outcomes through a scalable, cost‑effective model. As the primary internal development group, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations, driving measurable results and supporting Deloitte's growth.