Applied AI Engineer II - Encore Program

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.