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Why WWT?

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)-a collaborative ecosystem featuring state-of-the-art hardware and software-WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distributions capabilities.

With more than 14,000 team members and over 60 locations globally, WWT's culture-grounded in core values and leadership philosophies-has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What is the Solutions Consulting & Engineering (SC&E) Team and why join?

Solutions Consulting & Engineering is an organization that 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 bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges, including the next frontier: agentic AI systems that reason, plan, and act on behalf of the enterprise.

Position Overview:

As a Sr. Infrastructure AI Automation Consultant, you will take a leadership role in delivering agentic AI outcomes across a wide range of global clients. You will engage with customer leadership to define priorities and outcomes, expand the capabilities and offerings of the Automation practice, and lead consulting engagements that bring autonomous, tool-using AI agents into production.

You'll develop Automation strategies, design multi-agent architectures, and lead build efforts by orchestrating large language models (LLMs), retrieval systems, tool integrations, and human-in-the-loop controls, all while using your communication skills to provide leadership and guidance to clients and engineers. Your consultative approach will help you evaluate client requirements, propose agentic solutions, and achieve measurable business objectives. You'll mentor engineers and collaborate with sales account executives, technology partners, and client IT and business executives.

Key Responsibilities:

Customer Focus

+ Understand customer needs and design agentic AI solutions that solve for both their short-term and long-term needs.

Creative Solutioning

+ Understand customer problems and develop novel agentic solutions that are differentiated from our competitors, combining foundation models, retrieval, orchestration, and enterprise context.

Strategic Client Relationship Management

+ 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.

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 architecture, and evaluation strategy.

+ 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.

Keys to Success:

+ You have a model-first, programmability-first mindset. You think in prompts, tools, and agent graphs as naturally as in code.

+ You focus on understanding data and curating powerful evaluations, including offline evals, online telemetry, and human feedback loops.

+ You excel at thoroughly documenting and communicating ideas to a broad audience, including non-technical business stakeholders.

+ Your attention to detail and code-craft is unparalleled. You care about what the agent actually does in the real world, not just the happy path.

+ You communicate and think in a structured manner.

+ You're comfortable engaging with clients, partners, peers, and anyone who has valuable input.

+ You have a passion for helping others achieve success.

+ You have domain expertise across multiple areas such as software development, cloud, data engineering, machine learning / LLMs, and enterprise integration.

Primary Focus:

Lead the design and implementation of Infrastructure Automation systems across client engagements, including agent orchestration, tool/function use, retrieval-augmented generation (RAG), evaluation, guardrails, and production deployment.

Key Technical Skills:

+ Networking : Enterprise routing/switching, multi-vendor (Cisco, Arista, Juniper)

+ Infrastructure-as-Code: NetBox, Git/YAML, Jinja2 templates, version control

+ Automation & APIs: Python (API automation, scripting), Ansible, Terraform, orchestration tools (Itential, StackStorm, AWX)

+ Integration & APIs: REST/GraphQL, secrets management (Vault/CyberArk), IPAM (Infoblox/NetBox), artifact repositories

+ Testing & Validation: Robot Framework, pytest, pyATS; test-driven automation

+ DevOps Practices: CI/CD, containerization (Docker/Kubernetes/OpenShift), GitOps, documentation-as-code, observability

+ Agent Frameworks & Orchestration: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Claude Agent SDK, OpenAI Agents SDK; multi-agent coordination and hand-off patterns.

+ Foundation Models & LLM Platforms: Anthropic Claude, OpenAI, Google Ge...

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Sr. Infrastructure AI Automation Consultant

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