Req number:
R8814Employment type:
Full timeWorksite flexibility:
HybridWho we areCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are looking for a motivated Agentic AI Architect ready to take us to the next level! If you have Agentic AI architecture, Generative AI, and enterprise solutioning experience and are looking for your next career move, apply now.Job Description
We are looking for an Agentic AI Architect to design scalable enterprise AI solutions, lead customer discussions, and provide technical leadership throughout solution implementation. This position will be full-time and hybrid in Bengaluru.
What You’ll Do
- Design enterprise-level Agentic AI and multi-agent solutions
- Translate business and engineering requirements into scalable AI architectures
- Build solutions using Generative AI, LLMs, RAG, autonomous agents, and intelligent workflows
- Integrate AI solutions with enterprise platforms, APIs, databases, and engineering systems
- Lead customer discussions, requirement-gathering sessions, solution presentations, and technical proposals
- Guide AI engineers and development teams throughout solution implementation
- Ensure AI solutions follow security, Responsible AI, governance, performance, and scalability standards
What You’ll Need
Required:
- 10 to 15 years of overall experience in engineering, IT, software development, AI, data, or solution architecture
- Minimum 4 years of experience in AI, Machine Learning, or Generative AI, including 1.5 to 2 years of hands-on Agentic AI experience
- Experience designing autonomous agents, multi-agent systems, tool-calling workflows, and agent orchestration
- Strong knowledge of LLMs, RAG, prompt engineering, embeddings, vector databases, and model evaluation
- Hands-on experience with frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex
- Strong programming experience in Python with knowledge of APIs and microservices
- Experience working with Azure, AWS, or GCP
- Strong customer-facing, stakeholder-management, solutioning, and presentation skills
- Ability to create architecture documents, technical proposals, proofs of concept, and implementation roadmaps
Preferred:
- Engineering degree in Mechanical, Electrical, Electronics, Computer Science, IT, AI, or a related discipline
- Experience in manufacturing, automotive, industrial engineering, energy, utilities, aerospace, or engineering services
- Exposure to engineering platforms such as PLM, CAD, MES, SCADA, IoT, ERP, or asset-management systems
- Experience in consulting, pre-sales, solution architecture, or customer-facing technical roles
Physical Demands
- Ability to safely and successfully perform the essential job functions
- Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
- Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.
Skills Required
- 10 to 15 years of overall experience in engineering, IT, software development, AI, data, or solution architecture
- At least 4 years of experience in AI, Machine Learning, or Generative AI
- 1.5 to 2 years of hands-on Agentic AI experience
- Experience designing autonomous agents, multi-agent systems, tool-calling workflows, and agent orchestration
- Strong knowledge of LLMs, RAG, prompt engineering, embeddings, vector databases, and model evaluation
- Hands-on experience with LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex
- Strong programming experience in Python with knowledge of APIs and microservices
- Experience working with Azure, AWS, or GCP
- Strong customer-facing, stakeholder-management, solutioning, and presentation skills
- Ability to create architecture documents, technical proposals, proofs of concept, and implementation roadmaps
- Engineering degree in Mechanical, Electrical, Electronics, Computer Science, IT, AI, or a related discipline
- Experience in manufacturing, automotive, industrial engineering, energy, utilities, aerospace, or engineering services
- Exposure to PLM, CAD, MES, SCADA, IoT, ERP, or asset-management systems
- Experience in consulting, pre-sales, solution architecture, or customer-facing technical roles
CAI (cai.io). Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CAI (cai.io). and has not been reviewed or approved by CAI (cai.io)..
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Retirement Support — Retirement contributions and an ownership component are highlighted as standout perks and positioned as a key strength of the package. This is framed as a notable differentiator within the overall offering.
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Wellbeing & Lifestyle Benefits — A wellness program that can reduce medical premiums, an Employee Assistance Program, and active employee resource groups are emphasized. A work-from-anywhere philosophy and flexible scheduling are also presented as quality-of-life benefits when client needs allow.
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Affordable Benefits — The primary medical setup is described as a high-deductible option with low premiums and an HSA contribution, which some view as cost-effective. Wellness participation is stated to further lower monthly premiums.
CAI (cai.io). Insights
What We Do
CAI is a global services firm with over 8,700 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what’s right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise
