Top Artificial Intelligence Jobs

Perform DMSMS and obsolescence management: surveil components, scrub BOMs, recommend form/fit/function replacements, develop mitigation strategies, support part qualification, avoid counterfeit parts, liaise with suppliers/customers, and document technical findings to ensure component availability for new and legacy systems.

Manage DMSMS and obsolescence for electronic components: monitor lifecycles, analyze and scrub BOMs, identify alternates, develop mitigation strategies, ensure counterfeit avoidance and standards compliance, liaise with suppliers/customers, and document part qualifications and reports.

Perform DMSMS and obsolescence management: monitor component lifecycles, scrub BOMs, identify/qualify alternate parts, develop mitigation strategies (last-time buys, replacements, redesign), ensure counterfeit avoidance and standards compliance, liaise with suppliers/customers, and document technical findings.

Monitor component lifecycles and forecast DMSMS risks, scrub and analyze BOMs, investigate alternate parts, develop mitigation strategies (last-time buys, replacements, redesign), enforce counterfeit avoidance and standards compliance, qualify parts, liaise with suppliers/customers, document findings, and lead obsolescence management while transitioning tools to automated, containerized microservices.

Perform DMSMS and obsolescence management: monitor component lifecycles, scrub BOMs, identify form-fit-function replacements, develop mitigation strategies (last-time buys, redesigns), qualify parts, ensure counterfeit avoidance and standards compliance, liaise with suppliers/customers, and produce technical documentation to support defense systems.

Support Process Risk Optimization by identifying, assessing, and mitigating process-level risks across Enterprise Services. Conduct risk research, advise stakeholders, draft deliverables, support program delivery, prioritize multiple assessments, and drive process improvements and controls activities while collaborating with cross-functional teams to inform executive decision-making.

The Counsel will ensure compliance with global privacy laws while supporting Mastercard's Security Solutions, focusing on privacy by design, legal guidelines, and data agreements.

The Senior Market Development Consultant will drive growth in the Card & Banking sector by executing strategic initiatives, creating content, and supporting sales teams while engaging with clients in a consultative capacity.

Develop and improve vehicle energy simulation tools and processes to predict energy usage and performance across propulsion systems. Enhance tool fidelity, co-simulation, ML integration, and usability; provide training and cross-functional support with thermal, dynamics, controls, and electrification teams.

Responsible for the full recruitment lifecycle in technology domains, managing 20-25 roles while promoting diversity and building pipelines of skilled candidates.

Manage retail operations and relationships for Boost Mobile's Northern VA territory, driving sales performance, coaching, and addressing complex market challenges.

This Senior Product Manager will lead product strategy and lifecycle for Fiduciary Services and Plan Advantage, collaborating with stakeholders to enhance retirement planning solutions.

The Senior Manager, Marketplace will scale the Metropolis Marketplace, manage B2C partnerships, and collaborate cross-functionally to drive growth and optimization.

As an Associate Technical Onboarding Manager, you will manage the onboarding process for new customers, gather technical requirements, and ensure quality customer experience through project management.

The Account Executive is responsible for generating sales, maintaining relationships with clients and AWS, managing sales cycles, and promoting market growth.

Design and build scalable backend services and data pipelines to power the end-to-end ML lifecycle in AWS SageMaker Unified Studio. Own features from ideation to production, implement a medallion data architecture, ensure 99.9% SLO reliability with on-call responsibilities, drive self-service tooling and automation, and mentor engineers while collaborating with applied scientists, ML engineers, and security teams.

The Applied AI Workflow Scientist, Sr. Manager drives the application of AI and LLMs in scientific workflows, collaborating with various stakeholders to improve operational efficiency in Immunology and Inflammation.

Leads AI strategy and technical direction for applied AI in Inflammation & Immunology, overseeing portfolio development, partnerships, and governance standards to improve scientific decision-making.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Partner cross-functionally, invent LLM optimization techniques, and contribute to technical vision and roadmap for foundational AI infrastructure.

Lead design, build, deploy, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production LLM performance (cost, latency, throughput) and contribute to long-term technical vision.

Support development and deployment of AI solutions including building and tuning ML/NLP models, implementing RAG pipelines and search systems, writing Python data pipelines, and integrating models in cloud environments.

Lead end-to-end architecture and implementation of conversational AI/chat systems across web, mobile, voice, and messaging. Define orchestration, memory/context, multi-bot routing, guardrails, telemetry, secure integrations, bot-to-agent handoffs, and evaluation patterns. Mentor engineers, run architecture reviews, and partner with product, security, and operations to deliver scalable, compliant conversational experiences.

Lead hands-on development and deployment of AI/ML solutions and rapid prototypes (with emphasis on Generative AI/LLMs), embed responsible AI practices, integrate AI into engineering workflows, and scale successful pilots across the enterprise while collaborating with cross-functional leaders.

Lead multiple engineering teams to deliver enterprise conversational AI (voice, IVR, chat) on AWS. Own platform architecture, cloud-native delivery, AI/ML operationalization, quality engineering, and cross-functional program execution to ensure reliable, scalable, production-grade conversational systems.

Perform all-source strategic analysis of emerging and disruptive technologies (AI, quantum, biotech, autonomy) to assess national security impacts. Produce OBI-focused assessments, ontologies, early-warning indicators, and briefings for senior leaders. Integrate analytics, ML, and semantic technologies into workflows, document processes for automation and knowledge-graph integration, and support long-term defense planning and DCIP threat assessments.