Practice Architect II – AI/ML

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the architectural direction for agentic AI and full-stack solutions across designated projects.

• Convert business and technical requirements into scalable and sustainable solution architectures.

• Establish architecture standards and design patterns for delivery teams.

• Oversee code reviews and architecture review processes, making final decisions on technical trade-offs.

• Write production-level code for customer projects approximately 40–60% of the time.

• Develop and maintain reusable accelerators, frameworks, and reference architectures.

• Assess emerging technologies and architectural patterns, determining what will be integrated into the stack.

• Resolve implementation obstacles for engineering teams.

• Offer technical guidance to engineering pods across multiple concurrent projects.

• Lead offshore technical leads to ensure design intent is preserved during handoffs to distributed teams.

• Mentor engineers on topics of architecture, code quality, and contemporary engineering practices.

• Serve as the senior technical representative to customer architects, engineering leaders, and executives.

• Articulate architecture decisions, risks, and trade-offs to both technical and non-technical audiences.

• Identify technical risks and dependencies early, along with mitigation strategies.

• Foster alignment among customer product, engineering, and business stakeholders.

• Deliver operational systems in production from enterprise data onboarding to live operation.

• Cultivate collaboration among global and offshore teams and ensure the delivery of extensible implementations.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

• Over 10 years of experience in software engineering and architecture, including more than 3 years in a lead or principal architect role.

• At least 2 years of experience building and operating production AI/agentic systems, rather than pilots or proofs of concept.

• Proficient in onboarding enterprise data and constructing a governed knowledge or semantic layer, including entitlement and lineage.

• Capability to articulate the security and identity model for agents interacting with enterprise data.

• Currently engaged in coding and able to complete a hands-on technical assessment.

• Experience leading offshore or distributed engineering teams.

• Proven track record of defining RACI across customer, onshore, and offshore teams on active engagements.

• Delivered production systems on at least two of AWS, Azure, or GCP.

• Customer-facing experience in engineering leadership and executive roles.

• Familiarity with agentic AI, AI-powered solution design, and modern application architecture.

• Expertise in solution architecture and system design.

• Hands-on experience in software development and prototyping.

• Knowledge of AI-assisted coding at scale for production deployment.

• Experience with code reviews, engineering standards, and quality governance.

• Proficiency in enterprise data onboarding, including aspects like source access, ownership, entitlement, classification, and quality gating.

• Understanding of knowledge fabric, semantic modeling, entity resolution, lineage, and data freshness.

• Knowledge of RAG and retrieval architecture, including vector and hybrid search, embedding pipelines, retrieval quality tuning, context management, and memory handling.

• Understanding of agent security, including agent identity, least-privilege tool access, data-boundary enforcement, and audit processes.

• Familiarity with agent execution harnesses, including tool and component boundaries, orchestration, failure management, and human-in-the-loop processes.

• Experience with evaluation harnesses, regression suites, groundedness and retrieval quality metrics, as well as cost and latency instrumentation.

• Ability to deliver cloud-agnostic solutions across AWS, Azure, and GCP.

• Proficiency in Python and TypeScript/Node.

• Strong SQL skills.

• Experience with agent frameworks such as LangGraph, LlamaIndex, or equivalent.

• Knowledge of MCP, containers, CI/CD, and Infrastructure as Code (IaC).

🏝️ Benefits

• Additional earnings may be available through annual bonuses.

• Profit sharing opportunities.

• Comprehensive Medical, Dental, and Vision coverage.

• Critical Illness, Accident, and Hospital coverage.

• 401(k) Retirement Plan with pre-tax and Roth post-tax contributions.

• Voluntary Life and AD&D insurance for employees and their dependents.

• Short- and Long-Term Disability benefits.

• Health Spending Account (HSA).

• Transportation Benefits.

• Access to Employee Assistance Program.

• Generous Time Off/Leave policy (PTO, Vacation, or Sick Leave).

• Fully remote position.