Lead Member of Technical Staff

Salesforce

Lead Software Engineer driving AI innovations and architectural decisions at Salesforce. Architecting multi-agent systems while mentoring engineers and influencing product strategy.

Posted 6/12/2026full-timeIndianapolis • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGrafanaGraphQLHerokuJavaKubernetesMicroservicesPythonSpinnakerTerraform

About the role

Key responsibilities & impact

Architect and lead development of sophisticated agent systems using Agentforce, Agent Script, and New Graph Architecture (NGA) serving 15,000+ users with enterprise-grade reliability
Drive technical strategy for the Sales Agent platform including agent memory architecture, RAG patterns, LLM optimization, multi-agent orchestration, and agent-to-agent communication protocols
Lead Customer Zero initiatives working directly with Agentforce platform and product teams to validate new capabilities, provide architectural feedback, and influence product roadmaps
Design and build production AI agents handling complex Seller use cases: Architect and execute critical platform migrations (Graph to Agent Script, legacy to NGA, Java to Python agents) maintaining zero downtime for production systems
Establish agent observability and quality frameworks including monitoring, analytics, debugging tools, conversation quality metrics, and user satisfaction tracking
Drive innovation in agent memory systems, retrieval augmentation techniques, prompt optimization strategies, and LLM fine-tuning approaches
Lead technical decision-making on system architecture, technology selection, performance optimization, and scalability strategies
Mentor SMTS and MTS engineers through technical guidance, architecture reviews, and career development
Make critical design decisions balancing innovation, reliability, scalability, cost efficiency, and time-to-market
Lead architecture reviews, design sessions, and technical roadmap planning with cross-functional stakeholders
Establish Agentic Engineering best practices, code quality standards, testing frameworks, and deployment strategies for agent development
Build highly scalable, efficient components on microservice multi-tenant SaaS cloud environment with focus on performance, reliability, and operational excellence
Drive end-to-end ownership of major technical initiatives from conception through production delivery and ongoing optimization
Partner with product management, enterprise architects, data science teams, R&D Centers and business leaders to align technical strategy with business objectives
Represent technical team in executive forums, steering committees, and cross-organizational planning sessions

Requirements

What you’ll need

8+ years of development experience as a software engineer
5+ years in technical leadership roles
Expert-level experience with backend development in Java, Python, or multiple object-oriented compiled, statically-typed languages (C++, C#)
Deep expertise in AI/ML frameworks with extensive hands-on experience architecting and deploying large language model systems (OpenAI, Anthropic, Claude, Gemini, Llama, etc.)
Proven track record building production agent systems, conversational AI platforms, or multi-agent orchestration frameworks (Agentforce experience highly preferred)
3+ years of hands-on experience with prompt engineering, RAG architectures, agent memory systems, and optimizing LLM performance at scale
Expert knowledge of cloud infrastructure (AWS, GCP, Azure, Heroku) with experience designing and operating large-scale distributed systems
Deep understanding of vector databases, embeddings, semantic search, retrieval optimization, and knowledge graph architectures
Extensive experience with Salesforce platform (Apex, LWC, Data Cloud, Einstein, Platform Events, MuleSoft) or equivalent enterprise platforms
Proven ability to architect RESTful APIs, GraphQL services, event-driven architectures, and microservices at scale
A related technical degree required
Exceptional verbal and written communication skills with proven ability to influence senior leadership and drive technical consensus
Strong experience establishing test-driven development practices, automated testing frameworks, and quality standards for AI/ML systems
Expert-level debugging and problem-solving skills with proven ability to resolve complex production incidents and optimize system performance
Extensive experience with developer tools and platforms: Git, Docker, Kubernetes, Terraform, Spinnaker, CI/CD systems, observability tools (Grafana, Datadog)
Demonstrated success mentoring senior engineers, leading technical teams, and elevating organizational technical capabilities
Track record of delivering large-scale systems used by thousands to millions of users with measurable business impact and high reliability

Benefits

Comp & perks

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaPythonC++C#AI/ML frameworkslarge language model systemsprompt engineeringRAG architecturesRESTful APIsGraphQL

Soft Skills

technical leadershipcommunication skillsmentoringproblem-solvinginfluencingcollaborationdecision-makinginnovationtechnical guidancecareer development

Certifications

related technical degree