Solutions Architect - AI/ML

Summary role description:

Hiring for a Solution Architect – AI/ML for an InsurTech platform provider, Life and Health Insurances.

Company description:

Our client is a VC-funded InsurTech platform company, providing software platforms for Life Insurance and Health Insurance companies across the globe. Leveraging their domain expertise, regulatory knowledge and technology experience, they architect innovative products and disrupt the Insurance value chain from Customer Acquisition to Engagement. Their products serve customers across the APAC region.

Role details:

• Title / Designation

  : Solutions Architect – AI/ML

• Location:

  Pune/Mumbai

• Work Mode:

  Work from office

Role & responsibilities:

• Define and evolve AI/ML architecture roadmap for FWA, IDP, and Agentic AI frameworks.
• Design scalable architectures for multi-agent systems and autonomous decision-making.
• Drive innovation by evaluating emerging AI/ML technologies, especially AI agents.
• Architect cloud-native platforms supporting the complete AI/ML lifecycle.
• Provide technical leadership across product development and customer implementation.
• Collaborate with data scientists, engineers, and business stakeholders.
• Lead technical presentations and solution design sessions with customers.
• Stay at the forefront of AI/ML innovations, particularly autonomous agents and LLMs.
• Establish and enforce technical standards and architectural guidelines.

Candidate requirements:

• 10+ years in software architecture/system design, with 5+ years in AI/ML systems/platforms.
• Proven experience delivering large-scale AI/ML solutions, preferably with autonomous agents.
• Experience with cloud-native architectures (AWS, Azure, GCP), containerization (Docker, Kubernetes), and microservices.
• Deep expertise in AI/ML system architecture (model serving, MLOps/LLMOps pipelines, distributed computing).
• Strong understanding of Agentic AI, multi-agent systems, and LLMs (including LoRA, PEFT fine-tuning).
• Bachelor's or Master's in CS, SE, Data Science, or related technical field.
• Exceptional technical leadership and communication skills.
• Insurance industry exposure preferred.

Selection process:

• Interview with Senior Solution Architect
• Interview with CTO
• HR Discussion