Top Artificial Intelligence Jobs

Lead the architecture, development, evaluation, and operation of enterprise autonomous AI agents integrated with Salesforce. Build stateful multi-agent workflows using LangGraph, Claude, and MCP; implement evaluation, observability, security, and PII protection; optimize model routing and performance; and establish engineering standards, API contracts, and architecture roadmaps. The role requires extensive software engineering and production LLM experience, strong debugging and stakeholder communication skills, and advanced English proficiency.

Lead customer-facing implementations for Fortune 500 organizations by discovering and optimizing third-party risk processes, configuring workflows and automations in Certa Studio, integrating systems, debugging data flows, managing testing and go-live, and supporting hypercare. Translate customer feedback into product improvements, templates, and deployment accelerators while working with compliance, security, privacy, legal, procurement, finance, and sustainability stakeholders.

Drive new business and expansion across GitHub and developer productivity services, including Copilot, GitHub Advanced Security, migrations, DevOps, platform engineering, and AI enablement. Build relationships with engineering leaders, partner with Microsoft and GitHub sellers, develop account strategies and proposals, manage pipelines, forecast revenue, negotiate profitable deals, and close sales while ensuring strong client experiences.

Owns full-funnel demand generation and pipeline growth for a B2B SaaS company serving private equity and financial services buyers. Responsibilities include managing HubSpot campaigns, workflows, lead scoring, attribution, paid media, integrated campaigns, website conversion, SEO, social channels, events, content, and agency relationships. The role partners with executive leadership and sales, builds marketing systems from the ground up, and measures programs against pipeline and revenue outcomes.

Owns the full HR lifecycle for 42dot Silicon Valley, building California-compliant policies and programs, managing headcount planning, compensation, performance, employee relations, compliance, HR operations, and benefits vendors. Partners with Finance, Recruiting, technical leaders, and Korea headquarters to align global standards with U.S. practices. Leads HR data and Workday operations, develops the HR team, and supports organizational growth.

Build AI agent evaluation and trace intelligence features, run benchmarks and experiments on Mastra primitives, and use findings to improve agent accuracy, configuration, and behavior. Develop tools that help developers understand agent performance and enable automatic self-improvement through evaluations, suggestions, and rollouts. This hands-on role combines experimentation, benchmarking, and production framework engineering in a fully remote environment.

Leads projects from initiation through completion by defining scope, plans, timelines, milestones, and deliverables. Coordinates cross-functional teams, manages stakeholders, tracks performance, identifies risks and issues, develops mitigation plans, and provides status updates. Maintains project documentation, supports change management, improves project processes, and manages multiple priorities while ensuring timely delivery aligned with business objectives.

Own and scale Cognitiv’s AWS infrastructure while evaluating architecture, networking, security, scalability, and service management. Lead improvements in deployments, monitoring, disaster recovery, and infrastructure-as-code practices. Support co-located Equinix datacenter deployments and hybrid cloud operations alongside a datacenter-focused SRE. Collaborate with engineering and product teams, provide multi-datacenter coverage, and help establish long-term service management best practices.

Own Foresight’s brand positioning, messaging, product marketing, go-to-market enablement, customer marketing, content strategy, website messaging, and fundraising materials. Translate complex AI, data, and analytics capabilities into compelling value for private equity, venture capital, and financial services audiences. Partner with sales, product, partnerships, customer success, and leadership while managing agencies and contractors and tracking marketing effectiveness.

Leads client engagements involving data architecture, cloud-native data pipelines, AI models, AI agents, and generative AI solutions. Designs and deploys scalable platforms using AWS, Databricks, Snowflake, Python, and related technologies. Guides discovery, architecture decisions, roadmaps, proposals, and client relationships while mentoring engineers and overseeing delivery. Ensures data quality, reliability, security, monitoring, and alignment with project goals, timelines, and budgets.