Artificial Intelligence Architect

AI Architect

Job Family:

Data Science & Analysis (India)

Travel Required:

Up to 10%

Clearance Required:

None

The AI Architect will play a critical technical leadership role within Guidehouse’s AI & Data practice in India. This role is responsible for architecting and delivering enterprise-grade AI solutions, supporting the firm’s AI Studio, and serving as a technical lead for strategic AI initiatives. The AI Architect will partner closely with global stakeholders, provide hands-on technical leadership across Generative AI and Agentic AI solutions, and help grow and upskill the India AI & Data team through coaching and mentorship. 

What You Will Do 

• Architect and implement enterprise-grade AI solutions by collaborating with senior leadership to define technology strategies aligned with business objectives. 

• Serve as a technical leader for strategic AI initiatives, guiding solution design decisions across architecture, platforms, and implementation approaches. 

• Support and help advance AI Studio capabilities, including reusable architectures, accelerators, best practices, and reference implementations. 

• Lead the design and development of AI platforms, including model lifecycle management, cloud-native deployment pipelines, MLOps, and scalable agentic architectures. 

• Architect and build AI platforms and pipelines leveraging cloud-native services (AWS, Azure, GCP) to support model development, deployment, monitoring, and governance. 

• Drive hands-on development of Generative AI and Agentic AI solutions, including LLM-based systems, retrieval-augmented generation (RAG), and multi-agent architectures. 

• Evaluate and integrate emerging AI technologies and frameworks, assessing their applicability to client and internal use cases. 

• Partner with cross-functional teams (IT, Security, and business stakeholders) to identify high-impact AI use cases and deliver MVPs and production-grade solutions. 

• Provide technical leadership, coaching, and mentorship to AI engineers and more junior resources, helping to upskill and grow the India AI & Data team. 

• Promote a culture of engineering excellence, innovation, and responsible AI, ensuring solutions align with commercial and public sector standards for data governance, security, and ethical AI usage. 

 

What You Will Need 

• Bachelor’s degree in computer science, engineering, data science, or a related field. 

• Minimum 8–10 years of experience in AI, machine learning, or data analytics, with a strong focus on solution architecture and deployment. 

• Minimum 2 years of hands-on experience with Generative AI and/or Agentic AI architectures and solutions. 

• Proven experience architecting and deploying AI solutions on cloud platforms such as AWS, Azure, Google Cloud, Palantir, or Databricks. 

• Strong understanding of big data technologies, AI frameworks, and modern cloud ecosystems 

• Hands-on experience and demonstrated technical leadership developing applications, data pipelines, and cloud-native AI solutions. 

• Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with global stakeholders. 

• Strategic mindset with a passion for innovation and continuous improvement. 

 

What Would Be Nice to Have 

• Experience working in a consulting or advisory capacity, supporting client-facing AI and data initiatives. 

• Master’s degree in a relevant technical or business discipline. 

• Certifications in cloud architecture, AI/ML engineering, or data science. 

• Experience contributing to AI thought leadership, accelerators, or enterprise-level strategic initiatives (e.g., AI Center of Excellence or AI Transformation programs). 

• Experience mentoring or leading distributed teams in a global delivery model. 

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Experience Level

Senior Level