Principal Software Engineer - Responsible AI Job at Microsoft Corporation (Mountain View)

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...

Location

United States , New York

Salary:

250000.00 - 290000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure
At least 5 years of experience with various AI technologies including GenAI, ML, Deep Learning, RPA or others
Proven ability to scale AI capabilities into high-throughput, low-latency environments
Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.)
Experience leading AI strategy and platform adoption in enterprise-scale environments
Skilled at translating regulatory and compliance requirements into responsible AI practices
Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives
Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners
Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners

Job Responsibility

Define and scale CLEAR’s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications
Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices
Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time
Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows
Influence cross-functional stakeholders across the business, fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors
Lead the AI Governance group and drive best practices across business functions
Track and optimize KPIs on AI adoption, model performance, scalability, and business impact

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches every day
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

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

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

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Principal Sales Engineer

Kalepa is looking for an exceptional Sales engineer with 7+ years of enterprise ...

Location

United States , New York

Salary:

165000.00 - 190000.00 USD / Year

Kalepa

Expiration Date

Until further notice

Requirements

7+ years of enterprise sales engineer experience
7 years of experience in financial services or financial technology, ideally with exposure to insurance, wealth management, investment platforms, or SaaS deployments
Prior experience in roles such as solutions engineering, sales engineering, client onboarding, pre-sales, product management, or technical consulting
Strong communication and presentation skills
AI-forward thinker, with a deep interest in artificial intelligence
Experience in technology for regulated industries like insurance or financial services
Strong technical foundation with the ability to discuss architecture, APIs, and integration patterns fluently
Fluent in SQL, Excel wizardry, or Python scripting
Understanding of AI, ML, and automation concepts
Experience at a growth-stage startup helping to scale the company during hypergrowth

Job Responsibility

Act as a trusted advisor during the sales cycle, guiding prospective clients through the technical and business evaluation of Kalepa's platform
Support and coordinate responses to RFPs, RFIs, and due diligence questionnaires
Design and lead tailored demos and workshops, to bring the software to life in an insurer-specific context
Travel up to 15% of the time to lead in-person sales workshops, going deep on the product, speaking to the prospect's use case, and mapping out what a successful deployment would look like
Scope engagements, draft Statements of Work (SOW), and set delivery timelines in collaboration with cross-functional teams
Facilitate seamless transitions to Kalepa's Client Success team
Collaborate on foundational sales engineering processes, playbooks, and collateral that will support future growth in the region
Help Kalepa win deal after deal

What we offer

Competitive salary (based on experience level)
Significant equity options package
401(k) plan with employer match (regardless of employee contribution)
100% covered medical, 100% covered vision and dental for individuals and families
Work with an ambitious, smart, global, and fun team to transform a $1T global industry
20 days of PTO a year
Global team offsites
Healthy living/gym stipend
Mobile phone bill stipend
Continuing education credits

Fulltime

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Senior Engineering Manager - Support Platform

Join Intercom as a Senior Engineering Manager and lead teams at the heart of our...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience leading engineering teams building and delivering customer-facing software products
Proven ability to lead multiple teams or broad product areas, aligning work across complex domains
A hands-on leader who brings clarity, context, and energy — ready to roll up your sleeves, dive deep, and stay close to the work and your teams, not just manage from a distance
Thrives in ambiguous, fast-paced environments, providing stability, structure, and momentum
Strong product mindset and customer obsession — you think in terms of customer problems, measurable outcomes, and business impact
Comfortable being the sole directly responsible individual (DRI) for your area, taking full ownership of outcomes and stepping confidently into product-thinking shoes when needed
Outcome-driven and an unblocker by nature — you take ownership of problems, remove barriers proactively, and relentlessly drive your teams toward success. You’re energized by achieving results and seeing impact
Eager to directly work with customers, and skilled at turning customer feedback and data into actionable insights and impactful product decisions
Passionate about building high-autonomy, high-accountability teams that consistently deliver exceptional customer outcomes
This is an AI-first role with a high bar for excellence. We expect you to be fluent in using AI tools to solve problems, accelerate output, and inspire others to do the same — helping shape a culture that embraces AI as a core advantage

Job Responsibility

Own one of Intercom’s largest and most complex product areas end-to-end — setting vision, priorities, and measurable outcomes
Work directly with customers and internal functions (including Sales, GTM, and Customer Support) to deeply understand their needs and translate insights into impactful product solutions
Act as the single accountable owner for your product area — comfortable being directly responsible for roadmap, execution, and results, and not shy about stepping into product-thinking shoes when needed
Drive clarity and alignment across teams, balancing near-term delivery with long-term product strategy
Continuously raise the bar for quality, reliability, and customer experience within your teams and beyond
Partner closely with Staff and Principal Engineers to shape direction, architecture, and execution
Coach and grow engineers and emerging leaders, supporting their development and helping them deliver exceptional outcomes
Foster a culture of ownership, accountability, and autonomy, enabling your teams to move fast and deliver meaningful results
Contribute to Intercom’s engineering culture, helping evolve how we build customer-driven software across the organization

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Engineering Manager - Support Platform

Join Intercom as a Senior Engineering Manager and lead teams at the heart of our...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience leading engineering teams building and delivering customer-facing software products
Proven ability to lead multiple teams or broad product areas, aligning work across complex domains
A hands-on leader who brings clarity, context, and energy — ready to roll up your sleeves, dive deep, and stay close to the work and your teams, not just manage from a distance
Thrives in ambiguous, fast-paced environments, providing stability, structure, and momentum
Strong product mindset and customer obsession — you think in terms of customer problems, measurable outcomes, and business impact
Comfortable being the sole directly responsible individual (DRI) for your area, taking full ownership of outcomes and stepping confidently into product-thinking shoes when needed
Outcome-driven and an unblocker by nature — you take ownership of problems, remove barriers proactively, and relentlessly drive your teams toward success. You’re energized by achieving results and seeing impact
Eager to directly work with customers, and skilled at turning customer feedback and data into actionable insights and impactful product decisions
Passionate about building high-autonomy, high-accountability teams that consistently deliver exceptional customer outcomes
This is an AI-first role with a high bar for excellence. We expect you to be fluent in using AI tools to solve problems, accelerate output, and inspire others to do the same — helping shape a culture that embraces AI as a core advantage

Job Responsibility

Own one of Intercom’s largest and most complex product areas end-to-end — setting vision, priorities, and measurable outcomes
Work directly with customers and internal functions (including Sales, GTM, and Customer Support) to deeply understand their needs and translate insights into impactful product solutions
Act as the single accountable owner for your product area — comfortable being directly responsible for roadmap, execution, and results, and not shy about stepping into product-thinking shoes when needed
Drive clarity and alignment across teams, balancing near-term delivery with long-term product strategy
Continuously raise the bar for quality, reliability, and customer experience within your teams and beyond
Partner closely with Staff and Principal Engineers to shape direction, architecture, and execution
Coach and grow engineers and emerging leaders, supporting their development and helping them deliver exceptional outcomes
Foster a culture of ownership, accountability, and autonomy, enabling your teams to move fast and deliver meaningful results
Contribute to Intercom’s engineering culture, helping evolve how we build customer-driven software across the organization

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Senior Principal Product Manager

This role involves managing various AI/ML Data Center projects and automated sol...

Location

United States , Sunnyvale

Salary:

161500.00 - 370500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Demonstrated the ability to influence engineering development, System Test teams, and Sales Engineering teams in the area of DC networking
Demonstrated the ability to influence customer network architectures
Solid understanding of EVPN-VXLAN, IP Fabric solutions for AI Data Centers, Enterprise, and Cloud Data Centers
Executive-level partnerships and effective communication skills with all levels of employees, individual contributors, customers, and account teams
Superior planning, organizational, change management, and cultural awareness skills including financial and global business acumen can be an advantage
12 to 18 years of experience in the DC/networking industry
5+ years of experience in product management (alternately, background in sales engineering, network engineering, technical marketing engineering, hardware engineering, or software engineering with strong product instincts)
Strong communication and listening skills to enable transformational change in a positive work environment internally while maintaining strong partnerships with a diverse customer base
Traveling up to 10% of the time is possible

Job Responsibility

Drive requirements for the DC software portfolio of HPE-Juniper’s AI and Automated Datacenter solutions
Assist with the market and competitive analysis, product strategy, pricing, positioning, and collateral
Evangelize/Innovate the SW features/Solutions both internally and externally
Product liaison for technology partnerships
Responsible for helping achieve quarterly forecasts in collaboration with GTM teams
Actively build and nurture customer and partner engagement and relationships

What we offer

Comprehensive suite of benefits
Personal and professional development programs
Unconditional inclusion
Flexibility to manage work and personal needs

Fulltime

Principal Software Engineer - Responsible AI

Microsoft Corporation

Location:
United States , Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 04, 2026

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