Principal AI Architect

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

📋 Description

• Develop comprehensive architecture for extensive, intricate AI initiatives that cover enterprise implementation, bespoke agent and application creation, integration, security, governance, observability, and operational processes.

• Create target-state architecture, guidelines, and decision-making frameworks that are in alignment with business objectives, engineering limitations, and execution of deliveries.

• Act as the escalation point for intricate challenges related to architecture, integration, performance, and governance.

• Direct AI discovery and readiness evaluations, architecture workshops, prototypes, proofs of concept, and technical assessments.

• Participate in solution discussions and take charge of architecture during customer interactions.

• Cultivate relationships with senior client stakeholders and present architectural options, trade-offs, roadmaps, and AI strategies.

• Guide the enterprise implementation of Claude, including strategies for adoption, security and access design, integration, and measurable usage outcomes.

• Spearhead the design and development of custom agents, applications, and solutions utilizing Anthropic APIs and SDKs, overseeing production and continuous optimization.

• Oversee and coordinate architects and technical leads, ensuring technical excellence, risk management, and alignment with client goals.

• Establish technical and business success metrics and utilize evaluation, observability, reliability, and adoption indicators to steer optimization efforts.

• Manage relationships with Anthropic and prospective technology partners.

• Collaborate with teams from AWS, Azure, GCP, and Salesforce.

• Assess customer solutions utilizing Claude through platforms like Amazon Bedrock and offer guidance on model and agent architecture.

• Mentor architects, engineers, and technical leads.

• Assist in recruiting, interviewing, talent development, and succession planning.

• Develop AI offerings, accelerators, reusable assets, reference architectures, and technical standards.

• Provide thought leadership through workshops, enablement, and client-facing materials.

• Design AI solutions with considerations for 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.

• Aid in pre-sales and pursuit initiatives, covering solution strategy, estimates, risk reviews, staffing assumptions, and high-level client discussions.

• Collaborate with Solution Architects, Solution Executives, and delivery leaders to craft commercially viable, technically sound solutions.

⛳️ Requirements

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

• Over 10 years of experience in enterprise technology, software engineering, cloud computing, architecture, or professional services, including more than 5 years in leading architecture for complex enterprise solutions.

• Extensive hands-on experience with at least one major cloud or enterprise platform such as AWS, Azure, GCP, or Salesforce, encompassing design and delivery for enterprise clients.

• Minimum of 2 years of hands-on experience in designing and delivering production generative AI, LLM, and agentic solutions, with proven experience using Claude and/or similar frontier models.

• Proficient in architecting and deploying solutions utilizing Claude API, Claude Code, Claude for Enterprise, Anthropic agent development tools, and agent integration standards and patterns such as MCP.

• Experience with deployment 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.

• Proven experience integrating AI and agentic solutions with enterprise applications, APIs, data platforms, identity systems, and business workflows.

• Solid understanding of security, governance, reliability, and cost optimization.

• Proficiency in Python and at least one additional programming or scripting language, along with CI/CD and infrastructure as code experience.

• Demonstrated success in leading large, complex programs across multiple teams, including architecture review boards and decision-making in ambiguous or high-pressure situations.

• Excellent executive communication skills for both technical and non-technical audiences.

• Willingness to travel up to 25% to client locations and work effectively with distributed teams across different time zones.

• Relevant cloud or AI certifications are preferred but not mandatory.

• Equivalent hands-on experience in designing and delivering production AI solutions will also be considered.

🏝️ Benefits

• Medical, Dental, and Vision coverage.

• Critical Illness, Accident, and Hospital insurance.

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

• Life Insurance (Voluntary Life and AD&D for employees and dependents).

• Short and Long-Term Disability coverage.

• Health Spending Account (HSA).

• Transportation Benefits.

• Employee Assistance Program.

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

• Additional earnings may be available through annual bonuses and profit sharing.