Applied AI Engineer II

Join Deloitte for an on-site opportunity in Jersey City, NJ as an Applied AI Engineer II. This role offers a competitive annual salary ranging from USD 102,500 to 188,900 and the chance to shape high-visibility full-stack products with GenAI and agentic capabilities. You will collaborate across teams to deliver AI-infused solutions that create real value for customers and the business.

Responsibilities

• Own and drive outcomes for customers and the business while considering the cost of achieving them. Design lean, high-quality engineering solutions that tackle complex problems, including responsibility for inference, token, and cloud costs.
• Act as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Contribute to requirements analysis, component design, development, testing, integrations, and support.
• Maintain accountability for code and design integrity, architectural fidelity, quality, data stewardship, and ongoing operations. Be hands-on, proactive, and continuously learn new approaches, languages, and frameworks. Produce technical specifications and scalable, maintainable code that meets quality KPIs.
• Develop lean, customer-centric engineering solutions through rapid, inexpensive experiments. Engage with customers and product teams before, during, and after delivery to ensure solutions meet timing and needs.
• Adopt an incremental and iterative delivery mindset, prioritizing action and evidence over extensive planning. Deliver lean, supportable solutions that navigate complexity and uncertainty.
• Collaborate with cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to balance feasibility, viability, usability, and value, fostering innovation.
• Demonstrate advanced technical proficiency in modern software engineering practices, including AI and Agentic SSDLC, delivering daily product deployments with full automation from discovery to production and operations, with quality checks throughout the SSDLC lifecycle.
• Quickly acquire domain knowledge relevant to the business or product, translating business needs, architectures, and UX/UI designs into technical specifications and code. Be a reliable, quality-focused team member who helps reduce technical debt.
• Exhibit strong communication and influence, articulating complex concepts clearly and supporting trade-offs with evidence to align technical solutions with business objectives.
• Engage with product engineering teams at all levels and with customers as needed, fostering co-creation and shared momentum toward product goals while aligning diverse perspectives to feasible solutions.

Requirements

• A bachelor's degree and at least 2 years of relevant experience
• Ability to work independently and as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines and provide clear guidance to others

Technologies

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