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AI Engineer Jobs

Lead AI Software Engineer

Fulcrum Digital

Location
Onsite (Pune, Maharashtra)
Employment
Full-time
Level
Senior Level
Posted 1 day ago

About the role

Fulcrum Digital is a global system integrator specializing in AI-powered solutions and digital engineering. This role leads the architecture and development of complex, multi-agent AI systems, driving technical strategy and mentoring a team to deliver scalable enterprise solutions.

Skills

Technical leadership Multi-agent AI systems Multi-model AI systems Architecture design Data engineering Model training Fine-tuning LLMOps Infrastructure Cross-functional partnership Performance optimization Mentoring AI governance Compliance frameworks Stakeholder management

Full job details

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