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Applied AI Engineer II - Encore Program

Deloitte New York, NY

New York, NY

Today

Full time AI Applied Encore

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Job Description

Applied AI Engineer II for Deloitte Encore Program, focusing on hands-on full-stack development and integrating GenAI and agentic capabilities into products to deliver customer value.

Responsibilities

Outcome-Driven Accountability: drive accountability for customer and business outcomes, including cost considerations; 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; contribute to requirement analysis, component design, development, testing, integrations, and support.
Engineering Craftsmanship: own code-design integrity and implementation fidelity to architecture and tech stack; maintain quality, data, and operations; stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks; create technical specifications and deliver scalable, maintainable code meeting quality KPIs; collaborate across diverse teams.
Customer-Centric Engineering: develop lean solutions through rapid, low-cost experimentation; 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 upfront planning; navigate complexity with a leaning-forward approach to deliver lean, supportable solutions.
Cross-Functional Collaboration and Integration: collaborate with product management, experience, and delivery teams; integrate diverse perspectives to balance feasibility, viability, usability, and value; foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: demonstrate mastery of modern software engineering practices, including AI and Agentic SSDLC; deliver daily product deployments with full automation from discovery to production with all quality checks through the SSDLC lifecycle; model best practices to optimize solutioning and product delivery; focus on continuous improvement of the full lifecycle.
Domain Expertise: rapidly acquire domain knowledge relevant to the business or product; translate business and user needs, architectures, and UX/UI designs into technical specifications and code; be a reliable, flexible teammate focused on quality and tech debt payoff.
Effective Communication and Influence: articulate complex technical concepts clearly; influence teammates and product teams with evidence-based trade-offs; create narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: collaborate with product engineering teams at all levels, including customers as needed; build constructive relationships that foster co-creation and momentum toward product goals; align diverse perspectives to drive feasible solutions.

Requirements

Ability to work independently and 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
Ability to travel 10 percent on average, based on client needs
Limited immigration sponsorship may be available

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
DevSecOps, SRE
ADO, GitHub, SonarQube, MLflow

Benefits

You may also be eligible to participate in a discretionary annual incentive program, subject to program rules and individual/organizational performance.

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