Architect, Software Engineering

As an Architect in our Software Engineering Capability, you act as the primary architect and technical lead on client engagements. You scope and estimate work, model solutions against business requirements, and serve as the senior technical voice in client communications.

• Architect and deliver production systems across the modern web and cloud stack, including frameworks such as Angular, React, and Next.js on the front end, and Spring Boot, .NET, and Python services on the back end, deployed on AWS, GCP, or Azure.
• Lead engagements building agentic AI systems, designing for evals, guardrails, and retrieval‑augmented generation (RAG) over enterprise knowledge via MCP, built on cloud‑native agent platforms such as Agent Core, Bedrock, Strands, and Vertex.
• Solve data problems in service of product outcomes, whether that involves a traditional analytics workload or preparing enterprise data to be retrievable and trustworthy for AI systems.
• Design and implement cloud‑native APIs and automate infrastructure as code with Terraform, embedding observability and operability from day one.
• Establish the engineering foundation for new engagements by defining branching and release strategy, CI/CD, environment topology, and delivery patterns for the duration of the project.
• Engage directly with clients and stakeholders to surface requirements, frame trade‑offs, and keep the technical solution connected to business outcomes.
• Own the technical narrative with client leadership by leading architecture reviews, demos, and conversations that translate technical decisions for non‑technical executives.
• Develop the people on your team and across the practice through hands‑on mentorship, R&D, peer training, and building reusable solution accelerators.

• AI‑Assisted Engineering:
  Use leading AI coding assistants to boost productivity and code quality.
• Accelerated Design & Strategy:
  Use OmniAI, our proprietary multi‑LLM platform, to accelerate solution design, architecture, and estimation.
• Advanced AI Engagements:
  Lead the build of agentic systems with proper evals, guardrails, RAG over enterprise knowledge, and production agent platforms based on services such as Agent Core, Bedrock, Strands, and Vertex.
• Continuous Learning:
  Support engineers through internal communities, peer learning, and dedicated time to explore emerging tools and patterns.

Compensation is competitive and includes a variable component when applicable. Salary is based on experience, skills, and responsibilities.

• Health, vision, dental, mental health, and life insurance.
• Prescription drug coverage, fertility and adoption…