Experience
12 - 15 yrs
Job Location
Pune, India
Vacancy
1
Designation
Artificial Intelligence Architect
Job Type
ONSITE
Job Description
">Ai Architect
12-15 Years Pune
- AI Architect
Job Summary- 1- AI Architect
We are seeking an experienced AI Architect to design and implement enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced Prompt Engineering techniques. The ideal candidate will have expertise in integrating AI solutions into existing business ecosystems and a strong understanding of Functional Safety Engineering and DFMEA (Design Failure Mode and Effects Analysis) processes.
Key Responsibilities
- Design and architect scalable AI/GenAI solutions utilizing Edge LLMs, cloud-based LLMs, and hybrid AI architectures.
- Develop and optimize Prompt Engineering frameworks to improve model accuracy, reliability, and business outcomes.
- Design and implement RAG (Retrieval-Augmented Generation) pipelines using vector databases, embeddings, and enterprise knowledge repositories.
- Integrate AI/LLM solutions with existing applications, APIs, enterprise platforms, and business workflows.
- Evaluate, select, and optimize LLMs for edge and enterprise deployments based on performance, latency, security, and cost requirements.
- Collaborate with cross-functional teams to incorporate AI capabilities into products while ensuring compliance with business and regulatory standards.
- Apply Functional Safety Engineering principles to AI-enabled systems, identifying potential risks and ensuring safe operation.
- Support DFMEA activities by assessing AI-related failure modes, risks, and mitigation strategies during product development.
- Define AI architecture standards, governance frameworks, and best practices for enterprise adoption.
- Mentor engineering teams on AI architecture, GenAI technologies, and deployment strategies.
Required Skills
- Strong experience with Large Language Models (LLMs), including Edge LLM deployments.
- Hands-on expertise in Prompt Engineering and prompt optimization techniques.
- Experience designing and implementing RAG architectures.
- Knowledge of vector databases, embeddings, semantic search, and knowledge retrieval systems.
- Experience integrating AI/LLM solutions with enterprise applications and APIs.
- Proficiency in Python and AI/ML frameworks.
- Understanding of AI governance, model evaluation, security, and responsible AI practices.
- Experience with Functional Safety Engineering standards and methodologies.
- Strong knowledge of DFMEA (Design Failure Mode and Effects Analysis) processes.
Preferred Qualifications
- Experience with automotive, industrial, manufacturing, or safety-critical systems.
- Knowledge of Edge AI deployment frameworks and model optimization techniques.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with MLOps, AI lifecycle management, and production AI deployments.
Experience
- 10+ years of overall software/engineering experience.
- 5+ years of experience in AI/ML architecture, GenAI, or enterprise AI solution design.
Nice to Have
- Experience with autonomous systems, digital engineering, or intelligent product development.
- Certifications in AI, Cloud, or Functional Safety domains.
No Referrers Available
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