AI Architect
Listed on 2025-12-19
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Base pay range
$/yr - $/yr
Job DetailsLocation:
Dallas or Houston, TX (hybrid work model)
We are seeking an experienced AI Architect to lead the design, development, and deployment of enterprise‑grade AI solutions that transform operations across a global consulting environment. This role is pivotal in shaping the technical architecture for GenAI, ML, and agentic AI systems, ensuring scalability, security, and alignment with business objectives.
Key Responsibilities- Define and maintain architecture for GenAI, LLMs, RAG pipelines, and autonomous agent systems.
- Design and implement agent orchestration workflows and agentic frameworks.
- Evaluate and select AI/Agentic tools, frameworks, and platforms (e.g., Lang Chain, Semantic Kernel, Vertex AI, Azure OpenAI, AWS Bedrock, Lang Graph, CrewAI).
- Align architectural decisions with enterprise performance metrics including latency, security, cost, and explainability.
- Assess emerging AI technologies and recommend adoption where appropriate.
- Design scalable, modular, and observable architectures aligned with business and data strategy.
- Serve as a key stakeholder in shaping the enterprise AI roadmap.
- Collaborate with data architects, scientists, enterprise architecture, security, AI product managers, and business stakeholders.
- Guide proof‑of‑concept development and prototype evaluations to validate architecture decisions.
- Provide architecture reviews, mentorship, and feedback to AI engineering teams.
- Lead structured build‑vs‑buy evaluations and influence platform roadmap decisions.
- Embed responsible AI principles, privacy, and governance frameworks into AI design.
- Ensure AI solutions comply with enterprise standards, security policies, and regulatory requirements.
- Partner with governance, security, and compliance teams to implement transparency, monitoring, and auditability.
- BA/BS degree and 10+ years of relevant architecture experience, or equivalent combination of education and experience.
- 4+ years of experience in ML or AI systems design and architecture.
- Proven expertise designing and deploying enterprise‑grade GenAI, RAG models, agentic AI, and ML pipelines.
- Working knowledge of interoperability protocols (e.g., Model Context Protocol, Agent‑to‑Agent communication).
- Hands‑on experience with agentic frameworks (Lang Chain, Azure AI Agent Services, n8n, Autogen, etc.).
- Familiarity with AI Gateway implementation for enforcing guardrails, monitoring, and centralized model access.
- 3+ years of experience building AI solutions in AWS (or equivalent cloud).
- Ability to build AI POCs and design for enterprise‑scale production.
- Strong collaboration and communication skills, with ability to influence executive leadership.
- Proven track record leading cross‑functional teams, including engineers and product managers.
- Demonstrated ability to stay on top of emerging AI trends and best practices.
- Understanding of MLOps and Dev Ops practices (CI/CD for models, observability, rollback).
- Experience with CI/CD pipelines using YML, AWS Cloud Formation, Terraform.
- Proficiency with Kubernetes, Docker, and containerized deployment.
- Strong programming skills in C#, Python, JavaScript, JSON.
- Experience with Azure Dev Ops for recording/tracking Epics, Features, and User Stories.
- Intellectual curiosity and commitment to continuous learning in AI/ML.
We are proud to offer comprehensive benefits designed to meet the diverse needs of our employees, including medical, dental, vision, life, AD&D, disability coverage, paid time off, leaves of absence, voluntary benefits, perks, flexible work options, well‑being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plans, and an employee stock purchase plan.
EEO StatementJobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable…
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