Senior AI Software Engineer
First seen by Alion on Oct 27, 2026.
Lead AI Software Engineer
Fulcrum Digital — AI Engineering
Grade: 3A
Department: AI Engineering
Experience Required: 5–8 years
Location: Pune, India
Employment Type: Full-Time
As a Lead AI Software Engineer, you'll provide technical leadership for a workstream building complex, multi-agent AI systems — owning the architecture, setting the technical bar, and acting as the bridge between engineering, product, security, and compliance.
Key Responsibilities
Provide technical leadership for a team/workstream building multi-agent and multi-model AI systems
Own architecture decisions and lead design reviews (Architecture Decision Records) for key AI initiatives
Architect scalable, full-stack AI solutions spanning data engineering, model training/fine-tuning, and LLMOps
Drive cost and performance optimization for AI systems running at enterprise scale
Partner cross-functionally with Product, Data Science, Security, and Compliance to shape solution design
Evaluate and select AI tools, frameworks, and vendors for the team
Mentor and upskill engineers, fostering technical growth within the team
Balance hands-on technical contribution with team-level planning and delivery accountability
Skills & Key Competencies
Must-Have Technical Skills
Technical leadership of AI engineering workstreams or a small team
Architecting complex multi-agent/multi-model AI systems at scale
Full-stack AI expertise: data engineering, model training/fine-tuning, LLMOps, infrastructure
Owns architecture decisions and design reviews (ADRs)
Cross-functional partnership with Product, Data Science, Security, and Compliance
Cost and performance optimization of AI systems in production
Mentors and upskills engineers
Good-to-Have Technical Skills
Experience building/owning internal AI platforms or agent frameworks
Vendor and AI tool evaluation/selection
Contribution to AI governance and compliance frameworks (GDPR, SOC 2, HIPAA-aware design)
Experience in regulated or highly audited environments
Key Competencies
Balances big-picture architectural thinking with a willingness to get into the weeds
Decisive under ambiguity — can make an 80%-confidence call and move the team forward
Strong stakeholder management across technical and non-technical audiences
Builds trust quickly with both engineers and cross-functional partners
Invests genuinely in growing people, not just shipping features
Holds a high technical bar without being a bottleneck