CrawlJobs Logo

Senior Principal Research Manager - Agentic Innovation

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
United States , Redmond

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

163000.00 - 296400.00 USD / Year

Job Description:

The M365 Research group at Microsoft is driving applied research and innovation efforts that reimagines how intelligent Agentic systems are built, evaluated, and deployed at enterprise scale. Our mission is to develop robust and scalable Agentic Systems that can operate reliably in complex real‑world environments, enabling step‑function advances in Human productivity. We are seeking a Senior Principal Research Manager - Agentic Innovation to lead research and incubation efforts across Agentic systems. This role offers a unique opportunity to define long‑term research vision, grow and mentor a high‑impact research team, and translate foundational advances into durable product and business impact. The scope of this role spans foundational agentic capabilities and forward‑looking research on next‑generation AI agent architecture. The ideal candidate will combine deep technical expertise with the ability to build teams, set direction, and drive execution across multiple time horizons. We communicate our work through academic publications, open‑source releases, patents, and close collaboration with product and engineering teams across Microsoft. Our goal is to shape the future of AI agents while delivering meaningful impact to real‑world systems used on a global scale.

Job Responsibility:

  • Define and own long‑term research and incubation agenda for Agentic Systems
  • Lead and grow a team of researchers providing technical direction, mentorship, and career development
  • Drive research for agentic systems for high‑impact enterprise use cases such as: enterprise productivity and coding agents
  • Incubate next‑generation agent architectures, including multi‑step reasoning, planning, reflection, multi‑agent collaboration, and self‑improving systems
  • Partner closely with product, engineering, and Microsoft leadership to translate research into real‑world impact
  • Publish in top-tier conferences and journals, and contribute to the broader research community through open-source contributions and thought leadership

Requirements:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
  • OR equivalent experience
  • 3+ years of people management experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have:

  • Doctorate in Computer Science, Distributed Systems, Machine Learning, Statistics, or related fields AND 7+ years related research experience
  • OR Undergrad or Master's degree in these fields AND 8+ years related research experience
  • 5+ years of people-management experience, managing a research or science team in an industrial or applied research setting
  • Proven experience designing and building end-to-end AI systems or production-grade systems that scale to real-world usage
  • Research experience and at least five publications in top conferences/journals in one of the following areas: machine learning, NLP, distributed systems, programming languages, software engineering
  • History of cross‑disciplinary collaboration across research, product, and engineering

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Principal Research Manager - Agentic Innovation

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...
Location
Location
France; United Kingdom , Paris; London
Salary
Salary:
Not provided
hcompany.ai Logo
H Company
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
  • Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
  • Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
  • Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
  • High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
  • Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI
Job Responsibility
Job Responsibility
  • Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
  • Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
  • Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
  • Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
  • Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
  • Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle
What we offer
What we offer
  • Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
  • Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment
  • Enjoy a competitive salary
  • Unlock opportunities for professional growth, continuous learning, and career development
  • Fulltime
Read More
Arrow Right

Senior Principal Engineering Manager

Microsoft Research (MSR) is working to transform the future of artificial intell...
Location
Location
United States , Redmond
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 5+ years of people management experience leading software engineering teams, including managing principal engineers
  • Experience building or operating infrastructure for large-scale distributed systems, cloud platforms, or artificial intelligence (AI)/machine learning(ML) workloads
  • Track record of driving execution on complex, multi-workstream infrastructure projects with clear milestones and accountability
  • Technical fluency in one or more of: large-scale compute clusters, GPU infrastructure, scheduling and orchestration (Kubernetes, Volcano), or High-Performance Compute (HPC) environments
  • Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch
  • Expertise in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms
  • A track record of strong cross-functional partnerships, including the ability to align on strategic direction, deliver joint accountabilities, and develop relationships with staff members with widely varied expertise
  • Experience scaling engineering teams through significant growth phases (hiring, onboarding, and integrating new engineers into a high-performing team)
  • Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Job Responsibility
Job Responsibility
  • Lead, mentor, and grow the engineering team that builds MSR’s AI research infrastructure
  • Recruit and develop exceptional engineering talent, building a diverse team - including hiring, onboarding, career development, and performance management
  • Drive execution across the team by setting clear goals, tracking milestones, managing dependencies, and ensuring accountability for delivering complex infrastructure projects on time and at high quality
  • Lead team culture and process changes, cultivating an AI-first mentality that accelerates our progress through agentic coding, automation, and skills development
  • Provide technical vision and judgment on the team's architecture, strategy, and roadmap — spanning supercomputer GPU clusters, high performance networking, workload optimization, researcher tools, and agentic workflows — while empowering engineers to own deep technical details
  • Collaborate closely cross-discipline with engineers, program managers, and research and science teams to align priorities, resolve dependencies, and build better solutions together
  • Foster a team culture of operational excellence, continuous improvement, and high psychological safety where engineers are empowered to take ownership and innovate
  • Fulltime
Read More
Arrow Right

Executive Director, Agentic AI

The Executive Director, Agentic AI will define and lead the enterprise strategy,...
Location
Location
United States , Sacramento
Salary
Salary:
175100.00 - 334750.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
May 30, 2026
Flip Icon
Requirements
Requirements
  • 12+ years in software engineering, platforms, or AI/ML, with 5+ years in senior leadership roles
  • Hands-on experience delivering AI systems at enterprise scale (not just experimentation)
  • Deep understanding of: LLMs, SLMs, RAG, embeddings, vector databases
  • Agent frameworks and orchestration patterns
  • Distributed systems, APIs, event-driven architectures
  • Proven ability to operate in regulated, high-availability environments
  • Strong executive communication and stakeholder-management skills
Job Responsibility
Job Responsibility
  • Define the enterprise Agentic AI vision and roadmap, aligned to business outcomes (cost reduction, revenue growth, productivity, experience uplift)
  • Establish clear differentiation between LLM tools, copilots, workflows, and autonomous/multi-agent systems
  • Identify and prioritize high-value agentic use cases (e.g., customer support resolution, claims/prior auth automation, contract leakage reduction, operational orchestration, developer productivity)
  • Own the design and evolution of the Agentic AI Platform, including: Multi-agent frameworks (planner, executor, verifier, critic, retriever agents)
  • Tool/function calling and API orchestration
  • RAG, memory, state management, and context persistence
  • Human-in-the-loop / human-on-the-loop controls
  • Define standards for agent lifecycle management (design, testing, deployment, observability, rollback)
  • Partner with Digital Platform and Integration teams to ensure agents are API-first, event-driven, and scalable
  • Lead delivery of production-grade agentic solutions, not POCs
What we offer
What we offer
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Fulltime
Read More
Arrow Right

Principal Product Manager

The Microsoft Discovery and Quantum (MDQ) team is seeking a visionary and techni...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Define and drive the long-term product strategy and roadmap for AI-driven enterprise solutions with a focus on quality, experimentation, and responsible AI
  • Lead cross-functional teams to deliver scalable, secure, and compliant AI products that meet Microsoft’s high standards for trust and customer satisfaction
  • Partner with engineering, research, design, and responsible AI teams to ensure seamless execution and alignment with Microsoft’s AI principles
  • Develop and evolve orchestration platforms for AI agents, including model evaluation frameworks, safety guardrails, and human-in-the-loop systems
  • Drive experimentation and A/B testing strategies to validate product hypotheses and optimize user experiences
  • Engage with enterprise customers, partners, and internal stakeholders to gather insights and translate them into actionable product requirements
  • Influence executive leadership and cross-org stakeholders to align on priorities and drive strategic initiatives across MDQ and Microsoft
  • Mentor and coach senior product managers, contributing to a culture of innovation, inclusion, and excellence
  • Represent MDQ in industry forums, customer briefings, and regulatory discussions related to AI quality and enterprise technology
  • Embody our Culture and Values
  • Fulltime
Read More
Arrow Right

Principal Engineer

To lead and manage engineering teams, providing technical guidance, mentorship, ...
Location
Location
India , Pune
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 20+ years experience
  • Owns the team’s mission, roadmap, and outcomes
  • Translates business goals into a clear technical strategy and measurable OKRs spanning research, prototyping, and production AI systems
  • Builds and scales a high‑performing engineering culture (quality, reliability, security, cost discipline), embedding modern SDLC practices, SRE, and CI/CD with AI‑assist tools and agentic workflows
  • Guides system architecture end‑to‑end (data pipelines, model serving, APIs/UI, observability), ensuring privacy, compliance, model governance, and safe/ethical AI
  • Coaches engineers through design reviews, code reviews, experiment design, and productionization
  • Removes blockers and grows talent through clear career paths
  • Partners cross‑functionally with Product, Design, Risk/Controls, and Platform teams to prioritize work, manage dependencies, and ship iteratively with fast feedback loops
  • Owns delivery metrics (lead time, deployment frequency, MTTR) and uses data to improve flow, reduce toil, and standardize reusable components and platforms
  • Manages vendor/platform selection for AI toolchains (IDE assistants, agent platforms), balancing ROI, reliability, and governance
Job Responsibility
Job Responsibility
  • Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives
  • Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget
  • Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement
  • Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity
  • Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
  • Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Fulltime
Read More
Arrow Right

Principal Product Manager

Are you a customer‑obsessed, AI‑first product builder who loves transforming how...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
  • Experience presenting to and managing product status with senior company leadership
  • Experience with enterprise SaaS product, AI/ML technologies, customer engagement solutions
  • Track record of delivering complex products at scale with measurable business impact
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Lead the product vision, strategy, and roadmap to integrate Generative AI, autonomous agents, and low-code/no-code capabilities into next‑generation customer experience and automation solutions
  • Engage directly with enterprise customers, partners, analysts, and executive leadership to uncover pain points, identify emerging trends, and maintain strategic alignment
  • Translate external insights and market signals into differentiated product capabilities that strengthen Microsoft’s competitive advantage
  • Collaborate across Microsoft engineering, UX, and AI research teams to drive co‑innovation, align dependencies, and deliver world‑class user experiences
  • Partner with engineering, design, marketing, and sales to ship high‑quality releases on time and at scale
  • Work closely with Data Science teams to develop leading AI-powered features using Generative AI
  • Measure product success through relevant KPIs, driving adoption, DAU/MAU, customer satisfaction, and revenue growth through data and strategy driven prioritization
  • Represent the product as a thought leader at industry events, analyst briefings, and customer advisory boards
  • Drive a culture of quality, innovation, collaboration, and teamwork, and embody our Culture and Values
  • Fulltime
Read More
Arrow Right

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...
Location
Location
United States , Pleasanton, California
Salary
Salary:
251000.00 - 314500.00 USD / Year
blackline.com Logo
BlackLine
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
  • 10+ years in ML infrastructure, DevOps, and software system architecture
  • 4+ years in leading MLOps or AI Ops platforms
  • Strong programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Job Responsibility
Job Responsibility
  • Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
  • Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
  • Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
  • Lead incident response and reliability strategies for ML/AI systems
  • Lead the deployment of AI models and systems in various environments
  • Collaborate with development teams to integrate AI solutions into existing workflows and applications
  • Ensure seamless integration with different platforms and technologies
  • Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
  • Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
  • Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics
What we offer
What we offer
  • short-term and long-term incentive programs
  • robust offering of benefit and wellness plans
  • Fulltime
Read More
Arrow Right

Sr. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; San Francisco, California
Salary
Salary:
343400.00 - 392000.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
  • At least 10 years of experience programming with Python, Go, Scala, or Java
  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms
  • 2+ years of experience supporting Agentic Frameworks
  • 2+ years of experience with LLMOps
  • 8+ years of experience designing mission-critical machine learning platforms
  • 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
  • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
  • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
  • Master's degree in Computer Science, Computer Engineering, or relevant technical field
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
  • Standardizing and automating agentic workflows
  • Contribute to crafting an end to end GenAI SDK, CLI and starter kits
  • Help bring together a vision of central guardrail services
  • Collaborate with cross organization architects to drive end to end performance
  • Accelerate innovation by incubating proof of concepts and driving RFCs
  • Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
  • Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right