Langsmith Data Jobs

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1d ago

Lead Applied AI Engineer II

Deloitte Honolulu, HI

Honolulu, HI

1d ago

$119k - $244k/yr Full time Artificial Intelligence AWS Aws Bedrock

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Job Description

Deloitte’s Honolulu team seeks a hands-on Lead Applied AI Engineer II to deliver AI-powered software across high-visibility projects. This onsite role blends technical leadership, cross-functional collaboration, and practical engineering craft to translate AI concepts into production-ready solutions that drive measurable outcomes for clients and the business. The position offers a competitive annual salary range of USD 118,700 to 243,700.

Responsibilities

Outcome-driven accountability: champion customer and business outcomes by designing lean, high-quality engineering solutions that solve complex problems and deliver valuable results.
Technical leadership and advocacy: act as the technical advocate for products, ensuring code integrity and alignment with goals; lead requirement analysis, low-level architecture, component design, development, testing, integrations, and post-delivery support.
Engineering craftsmanship: uphold architecture and tech-stack integrity to enterprise standards; manage dependencies, design quality, data handling, and ongoing maintenance; stay hands-on, learn new approaches, create technical specifications, write and review scalable code, and mentor peers.
Customer-centric engineering: develop lean solutions through rapid experimentation to meet 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; navigate complexity with a forward-leaning approach to deliver lean, maintainable solutions.
Cross-functional collaboration and integration: work with product management, experience, and delivery teams; integrate diverse perspectives to balance feasibility, viability, usability, and value, fostering collaboration and innovation.
Advanced technical proficiency: bring deep expertise in modern software engineering practices, including AI and agentic SDLC to enable daily product deployments with end-to-end automation and quality checks throughout the lifecycle; model best practices to optimize solutioning and delivery.
Domain expertise: quickly acquire relevant domain knowledge and translate business needs, architectures, and UX/UI designs into technical specifications and code; be a flexible, quality-focused teammate focused on tech debt payoff.
Effective communication and influence: articulate complex technical concepts clearly, influence teammates and product teams with evidence-based trade-offs, and craft narratives that align technical solutions with business goals.
Engagement and collaborative co-creation: collaborate with product engineering teams at all levels, including customers as needed; build constructive relationships that promote co-creation and shared momentum toward product goals, aligning diverse perspectives to reach feasible solutions.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related field.
6+ 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.
3+ years building AI/ML applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, and vector databases.
3+ years of cloud-native engineering using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
1+ year establishing engineering standards, including actively leading, mentoring, and guiding team members in adopting and improving these standards.
Prior software engineering experience with Business Context Diagrams, sequence/activity/state/entity relationship/data flow 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 (e.g., LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.

Technologies

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

Benefits

Discretionary annual incentive program

Other

Ability to travel up to 10 percent on average, depending on work and product delivery needs
Limited immigration sponsorship may be available

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