Senior Staff Engineer, Applied AI Job at Geico (Chevy Chase, MD)

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Manager, Software Engineering - Expressive AI

The Expressive AI team is responsible for applying generative AI models to desig...

Location

United States , New York

Salary:

250000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

4+ years of experience hiring and leading teams as an engineering manager
Ability to think strategically about engineering and product roadmaps, on both short and longer term time horizons
Demonstrated experience applying advancements in AI from both engineering and product perspectives, with a specific focus on LLMs, diffusion models, and image/video generation
Proven leadership in building high-performing, highly engaged engineering teams, with a strong track record of motivating, mentoring, and guiding senior engineers while hiring top industry talent
Exceptional ability to work cross-functionally across Product, Design, and Marketing, as well as collaborating with other engineering teams to ship both customer and internal-facing projects
A strong sense of technical curiosity, a willingness to learn and grow alongside your team, and a genuine passion for design and craft

Job Responsibility

Partner with Product and Design to build and execute a long-term roadmap that delivers a world-class user experience for designers in Figma
Work closely with cross-functional partners and engineering teams to push the boundaries of what’s possible through the application of AI to creative problems
Hire, manage, support, and develop a team of engineers, including staff level engineers
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other organizational leaders
Grow your career within an engaged and creative engineering community
Help drive initiatives through hiring, community events, and cross-functional programs across Figma

What we offer

equity
health, dental & vision benefits
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Senior Staff Software Developer - Mobile (IOS)

Come join Intuit's DataX team as a Senior Staff Software Developer - Mobile (IOS...

Location

Canada , Toronto

Salary:

179500.00 - 242500.00 CAD / Year

Intuit

Expiration Date

Until further notice

Requirements

Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
Expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications on the iOS platform
5+ years of experience designing complex mobile architectures and distributed systems
Experience with AI technologies/tools and applying them to mobile user experiences or backend solutions
Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python in the context of mobile development
Expertise in Swift and SwiftUI
Experience in the Software design/architecture process, specifically for mobile applications
Experience in the entire Software Development Life Cycle (SDLC), with a focus on mobile releases
Experience with web services (consuming or creating) with REST or SOAP for mobile backends
Prior working experience in a cloud computing environment like AWS/GCP is highly desired

Job Responsibility

Drive velocity in the organization by identifying and driving key opportunities across the mobile platform and broader company, accelerating customer, business, and technology outcomes
Drive significant technology initiatives end-to-end within the iOS platform, including horizontal layers of the mobile architecture
Understand customer behaviors and partner with cross-functional partners (Product Management, Design, etc.) to influence and drive end-to-end mobile solutions for customer problems
Drive the design and implementation of durable and scalable AI-powered iOS solutions that will solve critical customer problems in a fast-paced environment
Execute with a boundaryless mindset and contribute to solutions outside of your primary iOS area of ownership
Leverage knowledge of building AI-native applications to reimagine and enhance existing mobile solutions and create new, innovative experiences
Guide the applicability of AI to customer problems within the mobile context through a deep understanding of the value and limitations of AI technologies
Create robust, scalable, and secure technical designs for iOS applications, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance
Passionate about continuous learning, experimenting, and applying cutting-edge mobile technologies and AI paradigms to solve customer problems on the iOS platform
Act as a technical subject matter expert for the iOS platform, mentoring fellow engineers and leading technical discussions

What we offer

cash bonus
equity rewards
benefits

Fulltime

Principal Software Engineer

At Automata, we're on a mission to transform how scientists work by making autom...

Location

United Kingdom , London

Salary:

130000.00 - 170000.00 GBP / Year

Automata

Expiration Date

Until further notice

Requirements

12–18 years of professional software engineering experience, with deep backend and some platform focus
Strong expertise in Golang
comfortable reasoning about Python-based systems
Experience building products end-to-end, ideally including at least one built from scratch and scaled
Strong system design and distributed systems experience
Exposure to Kubernetes, containerisation, CI/CD, IaC, security, and modern delivery practices
Experience influencing and leading senior technical people
Prior CTO (at a startup), Principal Engineer, or equivalent senior technical leadership experience is a strong plus

Job Responsibility

Own architecture and technical direction
Define, evolve, and own the end-to-end technical architecture across our core platform and new products
Act as the final technical decision-maker on architecture, core technologies, and engineering approaches
Design systems that are scalable, resilient, secure, and adaptable as the business grows
Translate product vision and customer needs into clear technical strategy and executable roadmaps
Stay hands-on: contribute to critical designs, core platform modules, prototypes, and apply your coding skills where it matters most
Lead and multiply senior engineers
Lead, mentor, and influence Staff and Senior Staff Engineers (6 direct, ~16 indirect reports)
Help staff engineers lead their squads effectively, making better technical and organisational decisions
Structure teams and responsibilities to improve pace, ownership, and clarity

What we offer

Vitality Health Insurance
Eye Care
Salary Sacrifice - EV
Salary Sacrifice - Bike & Tech
Wellbeing & Support
Wellbeing & Development Allowance
Spill & Employee Assistance Programme
Additional Leave
Pension Scheme
Group Life & Critical Illness cover

Fulltime

Executive Director, Agentic AI

The Executive Director, Agentic AI will define and lead the enterprise strategy,...

Location

United States , Sacramento

Salary:

175100.00 - 334750.00 USD / Year

CVS Health

Expiration Date

May 30, 2026

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

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

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

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Senior Staff Engineering Manager - Applied AI

GEICO is in the midst of an exciting transformation as a product and tech powere...

Location

United States , Chevy Chase; Palo Alto; Dallas

Salary:

140000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

10+ years hands-on software or solutions engineering
recent experience architecting/building production systems
5+ years leading Agile teams delivering customer-impacting products
proven track record shipping AI/ML-enabled features to production with measurable impact
strong cloud experience (AWS or Azure)
CI/CD, SDLC, and modern engineering practices
practical MLOps/LLMOps experience (model lifecycle, telemetry, A/B testing, online and batch inference)
excellent stakeholder management and communication
Bachelor’s in CS/IS or related field (or equivalent experience)

Job Responsibility

Partner with product, data science, and AI Platform teams to define and deliver an Applied AI roadmap for claims tied to measurable business outcomes
Lead end-to-end delivery of AI features in the claims domain (e.g., claims triage/routing, adjuster assistance, subrogation/recovery opportunities, workload optimization)
Establish robust MLOps/LLMOps (model/prompt/version management, evaluation, feature/vector stores, CI/CD for ML, online/batch inference, cost/performance tuning)
Rapidly prototype using AI-assisted development tools (e.g., Cursor, Claude Code) to validate concepts and accelerate delivery
Ensure reliability, security, and Responsible AI (privacy-by-design, guardrails, human-in-the-loop, auditability)
Drive engineering excellence (clean architecture, scalable APIs, event-driven integration, observability, automated testing, SLOs/runbooks/on-call)
Recruit, coach, and grow a high-performing team
champion Agile practices and operational excellence

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Elastic Compute Architect, Senior Director (IC)

At Teradata, we believe that people thrive when empowered with better informatio...

Location

India , Hyderabad

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

15+ years of progressive experience in cloud infrastructure or distributed systems engineering, including 5+ years in a senior architectural or engineering leadership role
Proven track record of setting multi-year technical strategy for large-scale, commercially deployed cloud platforms with global enterprise customers
Deep knowledge of elastic compute architectures—autoscaling, multi-cloud resource management, containerization, and workload scheduling—at petabyte and petaflop scale
Experience driving AI-powered productivity initiatives within engineering organizations, including measurable outcomes from AI tool adoption programs
Exceptional executive communication and stakeholder management skills, with a demonstrated ability to influence at the C-suite and Board level
Prior experience as a chief architect or distinguished engineer at a cloud infrastructure company, major database vendor, or hyperscaler
Familiarity with Teradata Cloud architecture, MPP systems, or enterprise data warehousing platforms
Experience managing globally distributed architecture teams and operating across cultural and time zone boundaries
Background in FinOps, cloud cost governance, or commercial engineering (understanding how compute cost flows to product pricing)
A track record of building AI-forward engineering cultures—where teams routinely use AI assistants, automated code review, and AI-generated documentation as standard practice

Job Responsibility

Own the long-range architectural roadmap for elastic compute across the Teradata Cloud platform, including dynamic resource provisioning, multi-tenant workload isolation, and adaptive query scheduling for AI and analytics workloads
Lead a team of Senior Staff and Staff Architects, setting technical standards, driving design reviews, and cultivating a culture of engineering excellence and continuous improvement
Partner with CPO and ELT-1 engineering leaders to align elastic compute investments with Teradata's Artemis, Agentic Platform, and MCP Integration product priorities
Represent Core Platform architecture in executive and customer-facing forums
articulate compute strategy to Board-level audiences, enterprise accounts, and strategic partners
Drive a 10x productivity agenda across the architecture function through structured AI tool adoption—including AI-assisted design review, generative documentation, and automated performance regression analysis
Define the talent and capability model for the elastic compute architecture discipline
partner with Talent Acquisition to attract, assess, and onboard world-class architects globally
Establish governance frameworks, architectural review boards, and cross-functional working groups to ensure elastic compute decisions are made with speed and rigor
Identify and manage technical debt, platform risk, and capacity planning across the compute layer

Fulltime

Sr Staff ML Engineer - Applied AI

We are building AI-native discovery experiences across Mobility and Delivery. Se...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree or Ph.D in Computer Science, Engineering, Mathematics
12+ years of ML experience, including significant work on large-scale deep learning systems
Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI
Deep expertise in transformers, retrieval systems, ranking, and embedding architectures
Strong experience with PyTorch and distributed training
Proven ability to set the technical strategy for a large organization and influence product roadmaps at the executive level
Strong product intuition and ability to connect model improvements to business outcomes

Job Responsibility

Define and champion the multi-year technical vision and architecture for foundation models across Search, Recommendations, and Conversational AI
Set the architectural standard and drive system design for critical, high-leverage ML platforms across Mobility and Delivery
Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants, resolving complex technical trade-offs across organizational boundaries
Define long-term investment areas (build vs fine-tune vs partner models) with clear business rationale and long-term viability
Provide principal-level technical leadership, mentoring Staff and Senior Staff engineers, and setting the bar for technical excellence across the entire AI organization

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

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Senior Staff Engineer, Applied AI

Geico

Location:
United States , Chevy Chase, MD ▼
Palo Alto, CA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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Senior Staff Engineer, Applied AI

Geico

Location:United States , Chevy Chase, MD ▼Palo Alto, CA

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 21, 2026

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