Sr. Infrastructure AI Automation Consultant

About the role

The Solutions Consulting & Engineering (SC&E) Team at WWT is customer-focused and solutions-led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability, and growth. Our success is enabled by our world-class management consulting, delivery excellence, and engineering brilliance. Our goal is to combine business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges, including agentic AI systems.

Responsibilities

• Customer Focus
• Understand customer needs and design agentic AI solutions that solve for both their short-term and long-term needs.
• Understand customer problems and develop novel agentic solutions that are differentiated from our competitors, combining foundation models, retrieval, orchestration, and enterprise context.
• Use a strategic approach to managing customer interactions and data throughout the customer journey, with a goal of higher business growth through better customer experiences powered by AI.
• Build strong customer relationships and deliver customer-centric agentic AI solutions that produce measurable value.
• Lead client agentic AI engagements with a focus on strategy, enablement, and execution, from discovery and use-case qualification through design, build, evaluation, and production rollout.
• Provide technical leadership during client engagements across model selection, agent design, tool/function integration, retrieval-augmented generation (RAG), evaluation strategy, and definition of agentic AI architectures and designs.
• Drive continuous improvement within the practice through development, collaboration, and mentorship.
• Contribute to the practice as a "librarian" of agentic AI intellectual property, including reusable agents, prompt libraries, evaluation harnesses, and reference architectures.
• Strategic Client Relationship Management
• Manage customer interactions and data throughout the customer journey, focusing on higher business growth through better customer experiences powered by AI.
• Commercial Success
• Build strong customer relationships and deliver customer-centric agentic AI solutions that produce measurable value.
• End-to-End Solution Management & Delivery
• Lead client agentic AI engagements with a focus on strategy, enablement, and execution, from discovery and use-case qualification through design, build, evaluation, and production rollout.
• Provide technical leadership during client engagements across model selection, agent design, tool/function integration, retrieval-augmented generation (RAG), evaluation strategy, and definition of agentic AI architectures and designs.
• Define agentic AI architectures and designs that are simple, effective, and responsibly governed.
• Mentor and collaborate with peers to raise the bar for everyone, including yourself.
• Drive continuous improvement within the practice through development, collaboration, and mentorship.
• Contribute to the practice as a "librarian" of agentic AI intellectual property, including reusable agents, prompt libraries, evaluation harnesses, and reference architectures.

Qualifications

• Ability to perform concurrent tasks in complex environments under adjusting priorities.
• Ability to communicate and modify approach, language, and style to different audiences, including C-suite executives.
• Professional writing style and experience with demonstrable technical and business-related artifacts is required.
• Collaborative, with the ability to manage conflicting interests and deal with ambiguity.
• Effective communication skills: capable of supporting presentations to convey concepts and solutions, writing effective emails, and discussing AI strategy with senior executives.
• Strong teamwork qualities: able to gain the trust of customers and collaborate effectively within the WWT team.
• Intellectually curious with a desire to continuously track advances in foundation models, agent research, and the broader AI ecosystem.
• Proactive, collaborative, with emotional intelligence, and the capacity to learn and synthesize new information rapidly.
• Adaptable, with the ability to conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities.
• Self-directed, with the ability to adapt to change and competing demands.
• Extensive experience in designing, building, and deploying AI or intelligent-automation solutions within an organization.
• Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or equivalent experience.
• Proven track record of leading large and complex AI or agentic automation engagements.
• Experience in developing standards and best practices for AI development projects, including prompt, evaluation, and deployment standards.
• Familiarity with modern development tools and environments, such as Git, Visual Studio Code, Docker/Podman, Kubernetes/OpenShift, and Linux/Unix.
• Experience with data serialization formats such as JSON, YAML, XML, and CSV.
• Proficiency in Python; experience with TypeScript, Go, or Rust is a plus.
• Working knowledge of LLM APIs, function/tool calling, streaming, structured outputs, and token economics.
• Working knowledge of modern public cloud AI platforms such as AWS Bedrock, Azure OpenAI, and Google Vertex AI, and experience integrating with on-premises or private model deployments (vLLM, TGI, Ollama, NVIDIA NIM).
• Working knowledge of one or more agent frameworks and platforms, such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or the Claude Agent SDK.
• Working knowledge of one or more retrieval and vector-database platforms, such as Pinecone, Weaviate, pgvector, Chroma, or Milvus.
• Working knowledge of agent evaluation and observability tooling, such as LangSmith, Langfuse, Arize, or Braintrust.

Skills

• Model-first, programmability-first mindset.
• Understanding data and curating powerful evaluations, including offline evals, online telemetry, and human feedback loops.
• Thoroughly documenting and communicating ideas to a broad audience, including non-technical business stakeholders.
• Attention to detail and code-craft.
• Communication and thinking in a structured manner.
• Engaging with clients, partners, peers, and anyone who has valuable input.
• A passion for helping others achieve success.
• Domain expertise across multiple areas such as software development, cloud, data engineering, machine learning / LLMs, and enterprise integration.

Pay

TBD

Schedule

TBD

Benefits

TBD