Salesforce · 3 hours ago
Sr. Director - AI Engineering
Washington - Seattle
Full-time
Hybrid
Director/Executive
$263K/yr - $401K/yr
15+ years expSalesforce is the #1 AI CRM, where humans with agents drive customer success together. The Senior Director of Engineering will provide unified technical leadership across the AI foundations platform stack, ensuring the platform delivers high reliability, strong security, and cost-efficient scalability while driving interoperability across platform components.
Agentic AIArtificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
Responsibilities
Lead the engineering of AI Foundations team that enables teams to build, deploy, evaluate, experiment on, monitor, and govern AI agents and ML models safely and at enterprise scale
Own three core platform areas
ML Platform & Developer Productivity (training, inference, environments, cost/perf)
Model & Agent Lifecycle & Governance (CI/CD, registries, lineage, access control)
Agent Observability, Evaluation & Reliability (quality, drift, experimentation)
Make agent evaluation and experimentation default platform capabilities, ensuring every production agent and model ships with:
Offline evaluation (golden scenarios, regression suites)
Pre-deployment quality gates in CI/CD
Controlled experimentation (A/B tests, canaries, shadow traffic)
Continuous post-deployment monitoring
Drive end-to-end observability across data pipelines, retrieval, model inference, tool execution, and agent outcomes, with clear SLIs/SLOs for quality, latency, reliability, and cost
Standardize ML and agent development workflows, reducing time-to-production and eliminating bespoke infrastructure across teams
Partner cross-functionally with Applied AI, Data Science, Product, Security, Legal, and Responsible AI to translate business and regulatory requirements into enforceable engineering systems
Build and lead a high-performing organization of engineering managers and senior engineers, setting a strong technical bar and culture of operational excellence
Qualification
Required
15+ years of engineering experience, with 7+ years leading platform or infrastructure teams in ML, data, or AI-heavy environments
A master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or equivalent industry experience
Proven experience with ML and platform infrastructure, including Kubernetes-based systems, CI/CD, distributed systems, and observability stacks (metrics, logs, tracing)
Expertise in generative AI, ML algorithms, and frameworks such as Hugging Face, Tensorflow, PyTorch, etc
Experience with cloud platforms (e.g., AWS, GCP) and distributed computing frameworks (e.g., Spark, Hadoop)
Hands-on familiarity with experimentation frameworks, such as A/B testing, canaries, and shadow deployments, and integrating experiments into ML/agent pipelines
Experience building evaluation systems for models and agents, including offline tests, regression suites, online monitoring, and LLM-as-a-Judge–style approaches
Strong background in AI agents and LLM systems, including tool use, multi-step workflows, RAG, prompt and policy management, and common agent failure modes
Experience with data and ML platforms (e.g., Snowflake-centric workflows, feature stores, training pipelines)
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
10001+ employees
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
Arundhati Bhattacharya
Chairman & Ceo Salesforce India
Marc Benioff
Chair & CEO
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