Description
Lead Member of Technical Staff - AI
About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good — you've come to the right place.
Role Description
Join the Agentic AI team at Salesforce working on Data Management and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organisations.
We work in a highly collaborative environment, and you will partner with a highly cross-functional team of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon CLAIRE Agentic Data Management, our innovative new AI framework. We value execution, clear communication, feedback and making learning fun.
Your Impact
You will:
Design, implement, test and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions.
Lead the design, development, and quality strategy for scalable data services that empower enterprises.
Provide architectural guidance and mentorship to a scrum team while leading code reviews and design sessions.
Make critical design decisions based on performance, scalability, and reliability, including high-level (HLD) and low-level design (LLD).
Drive technical roadmaps for Agentic AI products and own the entire SDLC.
Analyze and provide feedback on product strategy and technical feasibility.
Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events.
Actively communicate with, encourage and motivate all levels of staff.
Be a domain expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements.
Troubleshoot complex production issues and work with support and customers as needed.
Required Skills
6-15 years of experience in building highly scalable Software-as-a-Service applications/platform.
Experience building technical architectures that deliver Agentic Solutions to address end to end Customer use cases
Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity.
Innovation/startup mindset to be able to adapt.
Deep expertise in Model Architectures and AI Systems, including orchestration for large-scale production deployments.
Advanced Context Engineering, demonstrated through designing and building Agentic Experience and RAG solutions/Alternates for high-quality, contextualized AI experiences.
Proficiency in distributed systems, event-driven architecture and cloud native technologies like Kubernetes
Strong Evaluation-led benchmarking (NFRs, SLIs, SLOs) to ensure performance, scalability, and Customer Trust in AI/ML systems.
Technical Leadership in Agentic Development, including designing and implementing agentic solutions and AI interfaces.
Strong system design skills for Distributed AI systems at Scale
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues.
Experience with the full software lifecycle in highly agile and ambiguous environments.
Excellent interpersonal and communication skills.
Strong proficiency in Java (Multithreading, and JVM tuning), or Python, and Object-Oriented designing.
Expertise in defining, packaging, and deploying structured 'Skills' (prompts/tools) for deterministic, headless agent workflows.
Experience with conversation-level testing, dynamic simulation environments (e.g., Benchforce/eVerse), and custom scorers for continuous agent improvement and evaluation (ADLC).
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.
Preferred Skills
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.
Benefits & Perks
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.