Sr. Solution Architect - Agentic AI

This Jobot Job is hosted by : Merwan Zattam

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Salary : $170,000 - $200,000 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 a highly skilled Senior Solution Architect – Agentic AI to design and deliver transformative AI-driven solutions that streamline enterprise processes and generate measurable business value. Leveraging deep expertise in agentic AI, multi-agent orchestration, and generative AI, this role will architect secure, scalable, and production-ready solutions that automate manual tasks, enable AI-assisted or autonomous workflows, and optimize outcomes across critical functions such as IT, HR, Finance, and Operations.

This role will collaborate closely with business stakeholders, process owners, and technical teams to define and deliver high-impact, end-to-end use cases. You will also play a leadership role in establishing standards, reusable assets, and governance frameworks for agentic AI across the enterprise.

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

Key Responsibilities

Solution Design

Architect and deliver enterprise-scale agentic AI solutions incorporating multi-agent collaboration.

Align solutions with business requirements and measurable KPIs (e.g., cost savings, efficiency, performance).

User Experience

Prioritize intuitive, user-centric designs that enable seamless, context-aware interactions (chat, voice, embedded UI).

Ensure clear human-in-the-loop escalation paths and adherence to conversational UX best practices.

Delivery Leadership

Lead cross-functional delivery PODs (IT, engineers, process owners) to ensure rapid, high-ROI solution delivery.

Align architecture and execution across diverse teams.

Standards & Best Practices

Define and maintain best practices for agentic AI solution design, orchestration patterns, CI / CD pipelines, and guardrails.

Ensure consistency, scalability, and reliability of enterprise deployments.

Solution Frameworks & Reusable Assets

Develop and maintain a framework classifying agentic solutions (autonomous workflows, AI-assisted tasks, orchestration patterns).

Build and promote reusable components (prompts, connectors, guardrails) to accelerate delivery and maximize value.

Governance & Compliance

Manage a registry of agents and agentic processes, maintaining ownership, performance, and dependency metadata.

Ensure solutions meet governance, transparency, security, and compliance standards.

Evangelism & Enablement

Demonstrate the “art of the possible” with compelling showcases of agentic AI capabilities.

Mentor teams on frameworks, autonomy design, and safety patterns, sharing implementation insights to drive adoption.

Qualifications

Minimum Requirements

Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field.

10+ years of experience in solution architecture, automation, or AI platforms.

3+ years designing and deploying production-grade agentic AI solutions with multi-agent orchestration at enterprise scale.

Proven success integrating AI agents with business-critical systems (ERP, CRM, ITSM) and workflows.

Expertise in generative AI, agent autonomy, tool integration, and human-in-the-loop design.

Working knowledge of standards such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols.

Hands-on proficiency with agentic frameworks (e.g., LangChain / LangGraph, Microsoft Autogen, Azure AI Agent Service, CrewAI, N8N, UiPath, Automation Anywhere).

Experience with cloud-native architectures (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure-as-Code (Terraform, CloudFormation).

Strong background in enterprise integrations (REST / GraphQL, event-driven systems), identity / access management (OAuth / OIDC, SCIM), and collaboration platforms (Teams, Slack).

Familiarity with AI security and compliance best practices, including data isolation, audit trails, and PII protection.

Skills

Strategic thinker with strong enterprise solution design expertise.

Excellent stakeholder engagement and executive presentation skills.

Ability to simplify complex technical topics for non-technical audiences.

Analytical mindset with a data-driven approach to problem-solving.

Preferred Qualifications

Master’s degree or MBA preferred.

Experience in large, complex organizations.

Excellent written and verbal communication skills.

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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