AI Architect

This Jobot Job is hosted by : Merwan Zattam

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Salary : $200,000 - $240,000 per year

A bit about us :

As a global leader in infrastructure and professional services, we are committed to delivering a better world. Powered by deep technical expertise, our teams solve complex challenges across water, environment, energy, transportation, and buildings. We partner with both public- and private-sector clients to create innovative, sustainable, and resilient solutions throughout the project lifecycle—from advisory, planning, design, and engineering to program and construction management.

Why join us?

We are proud to offer comprehensive benefits designed to meet the diverse needs of our employees. Depending on employment status, benefits may include medical, dental, vision, life, AD&D, disability coverage, paid time off, leaves of absence, voluntary benefits, perks, flexible work options, well-being resources, an employee assistance program, business travel insurance, service recognition awards, retirement savings plans, and an employee stock purchase plan.

Job Details

Job Description

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.

The ideal candidate will bring deep expertise in AI systems, frameworks, and enterprise integration, along with a proven track record of delivering impactful AI solutions in complex organizational settings.

Why Join Us?

This is a high-visibility opportunity to influence how AI is embedded across global operations. You’ll work at the intersection of architecture, innovation, and enterprise value creation—helping to shape both near-term solutions and long-term strategy.

This position offers a hybrid work model, with flexibility to be based in Dallas or Houston, TX.

Key Responsibilities

AI Architecture & Strategy

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., LangChain, Semantic Kernel, Vertex AI, Azure OpenAI, AWS Bedrock, LangGraph, 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.

Solution Design

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.

Governance & Compliance

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.

Qualifications

Technical Experience

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 (LangChain, 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.

Leadership & Collaboration

Strong collaboration and communication skills, with the 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.

Preferred Qualifications

Understanding of MLOps and DevOps practices (CI / CD for models, observability, rollback).

Experience with CI / CD pipelines using YML, AWS CloudFormation, Terraform.

Proficiency with Kubernetes, Docker, and containerized deployment.

Strong programming skills in C#, Python, JavaScript, JSON.

Experience with Azure DevOps for recording / tracking Epics, Features, and User Stories.

Intellectual curiosity and commitment to continuous learning in AI / ML.

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

Jobot 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 federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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