Top AI & Machine Learning Jobs

Build and deploy production-grade AI and machine learning systems, including agentic applications, internal developer tooling, orchestration, APIs, evaluation frameworks, guardrails, and scalable deployment pipelines. Partner with data scientists to productionize proofs of concept, tune and validate models, monitor performance, manage versioning, and ensure reliable, ethical, and scalable operations.

Lead design, development, and operation of scalable data pipelines and products for foundation model training, inference, and evaluation. Partner with AI, software, and platform teams to enable feature engineering, ensure data quality, lineage, governance, performance, and security. Mentor engineers, lead code and design reviews, and contribute to program planning and delivery risk management.

Designs, develops, deploys, and improves enterprise AI and machine learning solutions for regulatory, compliance, risk, and customer assurance processes. Builds generative AI applications using LLMs, RAG, vector databases, and cloud platforms. Owns model evaluation, prompt engineering, MLOps, CI/CD, monitoring, observability, production support, automation, and responsible AI governance. Partners with business, risk, compliance, security, and technology teams to deliver secure, scalable, measurable AI capabilities.

Lead technology and architecture for new business opportunities, evaluating feasibility, risks, build-versus-buy paths, and scalable target architectures. Design and guide AI-enabled and agentic systems, including workflows, orchestration, evaluation frameworks, and intelligence platforms. Partner with product, business, sourcing, and engineering teams through incubation and commercialization. Mentor technical teams and uphold security, reliability, compliance, and engineering standards.

Leads technology and architecture for new business opportunities, evaluating feasibility, risks, build-versus-buy pathways, and scalable target architectures. Designs and guides AI-enabled and agentic systems, including workflows, orchestration, evaluation frameworks, and intelligence platforms. Partners with product, business, sourcing, and engineering teams, mentors technical talent, establishes engineering standards, and ensures solutions meet security, reliability, compliance, and performance requirements.

Leads technology strategy and architecture for new business opportunities, evaluating feasibility, risks, build-versus-buy decisions, and scalable platform capabilities. Partners with product, business, sourcing, and engineering teams to incubate and commercialize AI-enabled solutions. Designs distributed systems, agentic workflows, data-intensive applications, and enterprise architectures while ensuring security, reliability, compliance, and performance. Mentors engineers and influences technical standards across teams.

Serves as the senior technology and architecture leader for new business opportunities. Evaluates technical feasibility, risks, build-versus-buy options, and target-state architectures while partnering with product, business, sourcing, and engineering teams. Guides AI-enabled and agentic system design, platform and capability decisions, incubation, commercialization, and scaling. Establishes engineering standards, ensures security and reliability, and mentors technical teams across complex, distributed, data-intensive systems.

Provides senior technology and architecture leadership for new business opportunities. Evaluates technical feasibility, risks, build-versus-buy pathways, and target-state architectures. Designs and guides AI-enabled and agentic systems, platforms, workflows, and data-intensive applications through incubation and scaling. Partners with product, business, sourcing, and engineering teams while mentoring technical staff and ensuring secure, reliable, compliant, and scalable solutions.

Leads technology and architecture for new business opportunities, evaluating feasibility, risks, build-versus-buy decisions, and scalable target architectures. Partners with product, business, sourcing, and engineering teams to incubate and commercialize AI-enabled solutions. Designs agentic workflows, platforms, and distributed systems; ensures security, reliability, compliance, and performance; establishes reusable engineering capabilities; and mentors technical teams and cross-functional partners.

Serves as a senior technology and architecture leader for new business opportunities. Evaluates technical feasibility, emerging technologies, architecture, risks, and build-versus-buy decisions. Designs and guides AI-enabled and agentic systems through incubation, prototyping, commercialization, and scale. Establishes reusable platforms and architectural patterns while ensuring security, reliability, compliance, and scalability. Partners with product, business, sourcing, and engineering teams, and mentors technical staff across complex, ambiguous initiatives.