Overview
On Site
BASED ON EXPERIENCE
Full Time
Skills
Management
LangChain
Semantics
Vertex
Generative Artificial Intelligence (AI)
Scalability
Business Strategy
Software Design
Enterprise Architecture
Concept Development
Mentorship
Build Vs Buy
Roadmaps
Privacy
Data Governance
Regulatory Compliance
Business Analysis
Business Analytics
Systems Design
Amazon S3
Amazon SageMaker
Vector Databases
Orchestration
Collaboration
Communication
Leadership
Agile
Machine Learning Operations (ML Ops)
GitHub
Continuous Integration
Continuous Delivery
Amazon Web Services
Terraform
Artificial Intelligence
Machine Learning (ML)
Kubernetes
Docker
Programming Languages
C#
Python
JavaScript
JSON
Microsoft Azure
DevOps
User Stories
SANS
FOCUS
Professional Services
Genetics
Law
Job Details
Title: Lead AI Architect
Location: Houston, TX 77024 (Hybrid)
Duration: Direct Hire
Compensation: Over $200K per year
Work Requirements: , Holders or Authorized to Work in the U.S.
We are seeking a Lead AI Architect to shape the enterprise architecture for GenAI, ML, and agentic AI systems that power transformation across our global consulting business. In this high-impact role, you'll define technical patterns, evaluate platforms, and guide the development of scalable, ethical, and value-driven AI capabilities. This position is ideal for a candidate with strong collaboration/communication skills as well as deep architecture expertise and practical experience building modern AI solutions in enterprise settings. Candidate must be willing to work in an Agile delivery model and can help lead by doing hands-on coding for patterns, architectures, and proof of concepts.
Key Responsibilities:
AI Architectural and Strategy:
- Define and maintain the overarching GenAI, LLMs, RAG pipelines, and autonomous agent systems
- Evaluate tools, frameworks, and platforms (e.g., LangChain, Semantic Kernel, Vertex AI, Azure OpenAI, Bedrock)
- Identify and evaluate emerging Gen AI/AI technologies and trends, recommending their adoption where appropriate
- Design architectures that support composability, modularity, observability, and scalability of AI solutions, ensuring alignment with business strategy, data strategy, and technology roadmap
- Align architectural decisions with business performance, latency, security, cost, and explainability requirements
- Participate in the development of our AI Roadmap
- Collaborate with data architects, data scientists, enterprise architecture, security, AI product managers, and business stakeholders
- Guide proof-of-concept development and prototype evaluations to test architecture decisions
- Provide architecture review, feedback, and mentorship to AI engineering teams
- Support build-vs-buy evaluations and provide input to platform roadmap decisions
- Embed responsible AI, privacy, and governance principles into system design
- Ensure AI architecture aligns with enterprise standards, security policies, and regulatory frameworks
- Partner with AI governance, data governance, security, and compliance teams to embed transparency and auditability
Minimum Requirements:
Technical Experience:
- BA/BS plus at least 10 years of relevant experience or demonstrated equivalency of experience and/or education
- At least 4 years of experience in ML or AI systems design and architecture
- At least 3 years of experience building AI solutions in AWS
- Must be hands-on with coding to assist in providing architectural runways, POCs, technical spikes, and best practices for the core development team.
- Deep experience with AWS architecture and services, including IAM, S3, Lambda, ECS/EKS, SageMaker, and Bedrock. Hands-on experience designing and deploying enterprise-grade LLM or ML pipelines (e.g., RAG, embeddings, fine-tuning)
- Familiarity with vector databases, model gateways, orchestration frameworks
- Strong collaboration and communication skills are key
- Must be comfortable engaging with key stakeholders and IT top-level leadership
- Proven ability to lead cross-functional teams
- Is comfortable working in an Agile delivery model.
- Understanding of MLOps and DevOps practices including CI/CD for models, observability, and rollback GitHub, GitHub Actions
- CI/CD pipelines using YML, AWS CloudFormation, Terraform
- Is intellectually curious in order to keep on top of new concepts in AI/ML, trends, and best practices
- Containerization tools like Kubernetes and Docker
- Programming languages/frameworks including C#, Python, JavaScript, JSON
- Azure DevOps for recording and tracking of Epics, Features and User Stories
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.