AI Architect
Guidehouse
full-time
Posted on:
Location Type: Office
Location: McLean • Virginia • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
AWSAzureCloudGoogle Cloud Platform
About the role
- Architect and implement enterprise-grade AI solutions by collaborating with senior leadership to define technology strategies that align with business objectives.
- Lead the design and development of AI platforms, including model lifecycle management, cloud-native deployment pipelines, and scalable agentic architectures.
- Drive business development by contributing to technical RFP responses, authoring white papers on AI innovation, and crafting solution-oriented pitch decks.
- Build and operationalize AI infrastructure for clients, including cloud-based model hosting (AWS, Azure, GCP, Palantir, Databricks), data pipelines, and AI service enablement.
- Evaluate and integrate cutting-edge AI technologies (e.g., LLMs, multi-agent systems, retrieval-augmented generation, fine-tuning frameworks) into client solutions.
- Lead end-to-end development of AI models and agents, ensuring performance, scalability, and compliance with commercial and public sector standards.
- Partner with cross-functional teams to identify high-impact AI use cases and deliver technical solutions that transform client operations.
- Provide technical leadership and mentorship to AI engineers and data scientists, fostering a culture of innovation and excellence.
- Ensure that all AI deployments adhere to commercial and public sector guidelines policies and standards, delivering responsible AI usage.
Requirements
- US Citizenship is required
- Bachelor’s degree is required
- Minimum EIGHT (8) years of experience in AI, machine learning, or data analytics, with a strong focus on solution development and deployment.
- Minimum TWO (2) years of hands-on experience with Generative AI and/or Agentic AI architectures and solutions.
- Proven track record advising clients in a consulting or technology strategy capacity.
- Hands-on experience developing applications, data pipelines, and cloud-native solutions.
- Experience deploying AI solutions on leading cloud platforms such as AWS, Azure, Google Cloud, Palantir, or Databricks.
- Deep understanding of AI/ML model lifecycles, platform design, and scalable architectures.
- Strong background in big data technologies, AI frameworks, and modern cloud ecosystems.
- Demonstrated technical leadership in delivering AI-driven modernization projects.
- Excellent leadership, communication, and interpersonal skills.
- Strategic thinker with the ability to drive innovation.
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI solutionsmachine learningdata analyticsGenerative AIAgentic AIdata pipelinescloud-native solutionsAI model lifecyclesplatform designbig data technologies
Soft skills
leadershipcommunicationinterpersonal skillsstrategic thinkinginnovationmentorshipcollaborationtechnical leadershipsolution-orientedbusiness development
Certifications
Bachelor's degree