Practice Architect II – AI/ML

TEKsystems

. Own architecture direction for agentic AI and full-stack solutions across assigned customer engagements .

Posted 11/3/2026full-timeRemote • Virginia • United StatesSeniorLead💰 $156,000 - $234,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in solution architecture and system design, particularly in agentic AI and full-stack solutions. Proficient in leading distributed engineering teams and delivering production-ready systems across cloud platforms such as AWS, Azure, and GCP.

Highest-signal resume keywords

Solution ArchitectureAgentic AI DevelopmentCloud Platform DeliveryCode Review and Quality GovernanceLeadership of Distributed Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptSQLAI-Assisted CodingProduction AI SystemsSolution DesignCode Quality StandardsRAG ArchitectureCloud-Agnostic DeliveryEnterprise Data Onboarding

Soft Skills

MentoringTechnical CommunicationStakeholder AlignmentProblem SolvingTechnical Leadership

Tools & Technologies

AWSAzureGCPContainersCI/CDIaCLangGraphLlamaIndexEvaluation HarnessesOrchestration Tools

Industry Keywords

Enterprise Data GovernanceAgent SecurityIdentity ModelDistributed EngineeringTechnical Trade-Offs

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact

Own architecture direction for agentic AI and full-stack solutions across assigned customer engagements
Translate business and technical requirements into scalable, sustainable solution architectures
Set architecture standards and design patterns for delivery teams
Own code review and architecture review gates and make final technical trade-off decisions
Write production code for customer engagements approximately 40–60% of the time
Build reusable accelerators, frameworks, and reference architectures across engagements
Evaluate emerging technologies and architecture patterns and determine what enters the stack
Unblock engineering teams on implementation problems
Provide technical direction to engineering pods across concurrent engagements
Lead offshore technical leads and ensure design intent survives handoff to distributed teams
Mentor engineers on architecture, code quality, and modern engineering practices
Serve as senior technical voice to customer architects, engineering leaders, and executives
Explain architecture decisions, risks, and trade-offs to technical and non-technical audiences
Surface technical risks and dependencies early with mitigation options
Drive alignment across customer product, engineering, and business stakeholders
Deliver working systems from enterprise data onboarding through operation

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline
[10]+ years in software engineering and architecture, including [3]+ years as a lead or principal architect
[2]+ years building production AI/agentic systems deployed and operating, not pilots or proofs of concept
Enterprise data onboarding and governed knowledge or semantic layer experience, including entitlement and lineage
Ability to describe the security and identity model for agents acting on enterprise data
Currently coding and able to complete a hands-on technical assessment
Experience leading offshore or distributed engineering teams
Experience defining RACI across customer, onshore, and offshore teams on a live engagement
Production delivery on at least [two] of AWS, Azure, or GCP
Customer-facing experience at engineering-leadership and executive level
Agentic AI, AI-powered solution design, and modern application architecture
Solution architecture and system design
Hands-on software development and prototyping
AI-assisted coding at scale for production deployment
Code reviews, engineering standards, and quality governance
RAG and retrieval architecture, including vector and hybrid search, embedding pipelines, retrieval quality tuning, context and memory management
Agent security, including agent identity, least-privilege tool access, data-boundary enforcement, and audit
Agent execution harnesses, orchestration, failure handling, and human-in-the-loop
Evaluation harnesses, regression suites, groundedness and retrieval quality metrics, and cost and latency instrumentation
Cloud-agnostic delivery across AWS, Azure, and GCP
Python and TypeScript/Node, strong SQL, agent frameworks such as LangGraph or LlamaIndex, MCP, containers, CI/CD, and IaC

Benefits

Comp & perks

Additional earnings may be available through annual bonuses and profit sharing
Medical, Dental, and Vision
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 employee and dependents
Short and Long-Term Disability
Health Spending Account (HSA)
Transportation Benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)