Job Description
Confidential AI Leadership Opportunity | Enterprise AI Architecture & Engineering
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Locations: Dallas, TX | Seattle, WA | Atlanta, GA | Chicago, IL | New York, NY
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Work Environment: Hybrid (minimum 3 days onsite per week; Director/VP-level hires should expect 4 days onsite)
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Employment Type: Full-Time
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A leading global consulting and technology organization is expanding its AI practice and seeking experienced AI Architects and AI Engineers to help design, build, and deliver next-generation AI solutions for enterprise clients.
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This is an opportunity to work on some of the most complex and high-impact AI transformation initiatives, helping organizations move beyond proof-of-concept projects and deploy scalable, production-ready AI systems that create measurable business value.
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AI Architect
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As an AI Architect, you will partner directly with business and technology leaders to define AI strategy, design enterprise-scale architectures, and lead the delivery of sophisticated AI programs.
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Key Responsibilities
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- Lead discovery workshops and current-state assessments with executive stakeholders
- Translate business challenges into scalable AI and data architectures
- Design enterprise solutions spanning cloud, data, and AI platforms
- Develop target-state roadmaps, governance frameworks, and implementation strategies
- Present recommendations to technical teams, business leaders, and executive audiences
- Guide engineering teams through solution delivery and adoption
- Define responsible AI, governance, security, and risk management practices
- Support pre-sales activities, solution design, and client engagements
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Desired Background
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- Extensive experience in enterprise architecture, data architecture, AI architecture, or solution consulting
- Demonstrated success designing and delivering production AI solutions
- Strong client-facing consulting and stakeholder management experience
- Experience with modern cloud platforms such as AWS, Azure, or GCP
- Exposure to enterprise AI platforms, data platforms, lakehouse architectures, or AI application frameworks
- Strong understanding of AI governance, security, and responsible AI principles
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Ideal Candidate
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- Proven ability to bridge business strategy and technical execution
- Comfortable leading executive discussions and influencing senior stakeholders
- Experienced in enterprise transformation, cloud modernization, and large-scale implementation programs
- Strong mentoring and leadership capabilities
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AI Engineer
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As an AI Engineer, you will be responsible for building and deploying enterprise-grade AI applications, agentic systems, and intelligent automation solutions that solve real business problems.
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Key Responsibilities
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- Design and build AI agents and agentic workflows
- Develop end-to-end AI applications and services
- Implement Retrieval-Augmented Generation (RAG) and large language model solutions
- Build APIs, inference pipelines, and orchestration frameworks
- Deploy, monitor, and optimize production AI systems
- Implement governance, security, and compliance controls
- Contribute reusable frameworks, accelerators, and best practices
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Desired Background
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- 5+ years of software engineering, platform engineering, AI/ML engineering, or related experience
- Hands-on experience building production AI applications
- Strong backend development expertise
- Experience with:
- Agentic AI frameworks
- Function calling and tool integration
- Vector databases and retrieval systems
- Orchestration frameworks
- Cloud-native deployment architectures
- Monitoring, observability, and security practices
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Ideal Candidate
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- Builder mentality with a passion for solving complex technical challenges
- Able to clearly articulate architecture decisions and trade-offs
- Experience taking AI solutions from concept through production deployment
- Comfortable working directly with clients and cross-functional teams
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What You’ll Be Working On
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Projects may include:
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- Agentic AI solutions
- Enterprise GenAI applications
- Advanced RAG implementations
- Enterprise knowledge management and retrieval systems
- Intelligent business process automation
- AI-powered decision support platforms
- Large-scale AI transformation initiatives
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What Success Looks Like
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- Delivering production-ready AI solutions that drive business outcomes
- Building scalable, governed, and secure AI systems
- Creating reusable frameworks and architectural best practices
- Helping enterprise clients accelerate AI adoption responsibly
- Influencing architecture standards and engineering excellence
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Work Authorization
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At this time, applicants must have existing authorization to work in the United States. Sponsorship is not currently available for this opportunity.
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Interested?
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If you're passionate about designing or building enterprise AI solutions and want to work on some of the most innovative AI initiatives in the market, we'd love to connect. Reach out confidentially to learn more.