Applied AI ML Engineers - SMTS/LMTS
Salesforce, Inc.
Bengaluru, Karnataka, IndiaSENIOR
Job Description
Join the Agentic AI team at Salesforce working on Data Management.
Responsibilities
- Design, implement, test, and deliver highly scalable AI solutions
- Drive technical roadmaps for Agentic AI products
Qualifications
- Evaluation-Led Development & Benchmarking: Proven capability in driving evaluation-led development to guarantee optimal performance, robust scalability, and absolute Customer Trust in non-deterministic AI/ML systems using NFRs, SLIs, and SLOs.
- Deep expertise in Model Architectures and AI Systems, including orchestration frameworks for large-scale production deployments.
- Advanced Context Engineering to build high-quality, contextualized AI experiences via RAG solutions and cutting-edge alternates.
- Expertise in defining, packaging, and deploying structured 'Skills' (prompts/tools) for deterministic, headless agent workflows.
- Technical Leadership in Agentic Development, including designing and implementing agentic solutions and AI interfaces.
- Ability to design and implement inter-agent protocols (A2A) and Human-Agent Collaboration (HAC) frameworks to manage shared context and ensure responsible autonomy.
- Deep understanding and implementation of an AI Trust Layer to ground AI systems in enterprise context, ensuring security and auto-blocking threats like prompt injection.
- Proficiency in distributed systems, event-driven architecture and cloud native technologies like Kubernetes
- Experience with the full software lifecycle in highly agile and ambiguous environments.
- Excellent interpersonal and communication skills.
- 6-15 years of overall experience in software engineering.
- Expertise in Data architectures including designing and implementing data pipelines and real-time data systems for high-scale AI products.
- Familiarity with PySpark for large-scale data processing and distributed computing tasks within AI pipelines.
- Experience with continuous integration (CI) and continuous deployment (CD), and service ownership.
Nice to have
- Familiarity with PySpark
Benefits
- Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!
- World-class enablement and on-demand training with Trailhead.com.
- Exposure to executive thought leaders and regular 1:1 coaching with leadership.
- Volunteer opportunities and participation in our 1:1:1 model for giving back to the community.