Principal AI Architect

TEKsystems

. Define end-to-end architecture for large, complex AI programs spanning enterprise rollout, custom agent and application development, integration, security, governance, observability, and operations .

Posted 11/5/2026full-timeRemote • Texas • United StatesLead💰 $190,600 - $286,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and leading end-to-end architecture for complex AI programs, including integration, security, and governance. Proficient in managing enterprise rollouts and collaborating with cross-functional teams to deliver innovative AI solutions.

Highest-signal resume keywords

Enterprise Architecture LeadershipGenerative AI Solution DesignCloud Platform Expertise (AWS, Azure, GCP)Technical Communication SkillsAI Governance and Security

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Applicant Tracking System Keywords

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Hard Skills

Cloud ArchitectureAI Solution DesignPython ProgrammingAgent DevelopmentCI/CDInfrastructure as CodeModel EvaluationObservabilityPrompt EngineeringData Integration

Soft Skills

Executive CommunicationTeam LeadershipMentoringRelationship BuildingProblem Solving

Tools & Technologies

Claude APIAmazon BedrockGoogle Vertex AIMicrosoft AzureAnthropic SDKsSalesforce

Industry Keywords

Enterprise TechnologySoftware EngineeringAI GovernanceSecurity ComplianceCost Optimization

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Define end-to-end architecture for large, complex AI programs spanning enterprise rollout, custom agent and application development, integration, security, governance, observability, and operations
Establish target-state architecture, guardrails, and decision frameworks aligned with business priorities, engineering constraints, and delivery execution
Serve as escalation point for complex architecture, integration, performance, and governance challenges
Lead AI discovery and readiness assessments, architecture workshops, prototypes, proofs of concept, and technical evaluations
Join solution calls and lead architecture on customer engagements
Build relationships with senior client stakeholders and present architecture options, tradeoffs, roadmaps, and AI strategy
Guide enterprise rollouts of Claude, including adoption strategy, security and access design, integration, and measurable usage outcomes
Lead the design and build of custom agents, applications, and solutions using Anthropic APIs and SDKs through production and ongoing optimization
Lead and coordinate architects and technical leads, ensuring technical quality, risk management, and alignment to client outcomes
Define technical and business success criteria and use evaluation, observability, reliability, and adoption signals to guide optimization
Manage the working relationship with Anthropic and future technology partners
Collaborate with AWS, Azure, GCP, and Salesforce teams
Review customer solutions using Claude through platforms such as Amazon Bedrock and advise on model and agent architecture
Mentor architects, engineers, and technical leads
Support recruiting, interviewing, talent development, and succession planning
Build AI offerings, accelerators, reusable assets, reference architectures, and technical standards
Contribute thought leadership through workshops, enablement, and client-facing artifacts
Design AI solutions with identity, least-privilege access, sensitive data protection, human-in-the-loop controls, limited agent authority, and auditability
Address prompt injection, adversarial risks, privacy, compliance, cost management, evaluation, monitoring, and release acceptance criteria
Support pre-sales and pursuit activities, including solution strategy, estimates, risk reviews, staffing assumptions, and executive-level client conversations
Partner with Solution Architects, Solution Executives, and delivery leaders to shape commercially sound, technically credible solutions

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a related technical discipline
10+ years of experience in enterprise technology, software engineering, cloud, architecture, or professional services, including 5+ years leading architecture for complex enterprise solutions
Deep hands-on experience with at least one major cloud or enterprise platform such as AWS, Azure, GCP, or Salesforce, including design and delivery for enterprise clients
2+ years of hands-on experience designing and delivering production generative AI, LLM, and agentic solutions, with demonstrated experience using Claude and/or comparable frontier models
Experience architecting and deploying solutions using Claude API, Claude Code, Claude for Enterprise, Anthropic agent development tooling, and agent integration standards and patterns such as MCP
Experience deploying through Amazon Bedrock, Google Vertex AI, and Microsoft Azure
Strong technical competency in agent and multi-agent orchestration, tool/function calling, memory and state management, RAG, vector and hybrid retrieval, prompt and context engineering, model and agent evaluation, observability, and production AI operations
Experience integrating AI and agentic solutions with enterprise applications, APIs, data platforms, identity systems, and business workflows
Strong understanding of security, governance, reliability, and cost optimization
Hands-on experience with Python and one or more additional programming or scripting languages, CI/CD, and infrastructure as code
Demonstrated success leading large, complex programs across multiple teams, including architecture review boards and decision-making in ambiguous or high-pressure environments
Strong executive communication skills for technical and non-technical audiences
Ability to travel up to 25% to client locations and work effectively across distributed teams and time zones
Relevant cloud or AI certifications are preferred but not required
Equivalent hands-on experience designing and delivering production AI solutions will be considered

Benefits

Comp & perks

Medical, Dental, and Vision
Critical Illness, Accident, and Hospital coverage
401(k) Retirement Plan with pre-tax and Roth post-tax contributions
Life Insurance (Voluntary Life and AD&D 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)
Additional earnings may be available through annual bonuses and profit sharing