Senior Staff Engineering Manager - Applied AI Job at Geico (Chevy Chase)

Senior Manager, Staff Software Engineering

We are looking to recruit Senior Engineering Manager to lead a newly formed Appl...

Location

United States , Chevy Chase

Salary:

150000.00 - 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

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

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

Manager AI Engineering

Rapid7 is looking for a seasoned Engineering Manager to lead a high-impact team ...

Location

India , Pune

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

Ability to inspire a team of 10+ engineers while maintaining high technical standards and morale
A proven track record of shipping complex ML systems to production in cloud-native (AWS) environments
Strong stakeholder management skills to navigate cross-team dependencies and organisational complexity
Deep understanding of modern AI patterns, including LLMs, RAG, and agentic orchestration
10+ years of experience in applied AI/ML engineering with the ability to guide architecture without creating bottlenecks
Expertise in the ML lifecycle, including evaluation frameworks, monitoring, and cost optimisation
Comfort operating in dynamic, high-growth environments where requirements and priorities shift iteratively
Familiarity with cybersecurity or similar high-signal, analytical data domains
Capacity to balance immediate delivery needs with long-term technical debt and scalability
Ability to articulate complex technical trade-offs to both technical and non-technical audiences

Job Responsibility

Lead the end-to-end delivery of AI applications and platform capabilities, moving from initial experimentation to robust production deployment
Mentor and grow a high-performing engineering team, fostering technical excellence and professional development for senior and staff-level engineers
Translate ambiguous business requirements into structured technical roadmaps, ensuring alignment between product goals and engineering execution
Partner cross-functionally with Product, Security Research, and Platform teams to identify and prioritise high-impact AI use cases

Senior Staff Product Manager — Apache Iceberg & Open Table Formats

The Senior Staff Product Manager for Apache Iceberg & Open Table Formats will ow...

Location

United States

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

12+ years of product management experience in data infrastructure, databases, data platforms, or analytics, with a track record of shipping platform-level capabilities
Deep familiarity with Apache Iceberg or comparable open table formats (Apache Hudi, Delta Lake), including understanding of metadata design, catalog architecture, and query optimization
Demonstrated experience in open-source community engagement—contributing to or leading initiatives within Apache Software Foundation projects or similar open-source ecosystems
Strong technical fluency in lakehouse architecture, including concepts like ACID transactions on object storage, schema evolution, partition evolution, snapshot isolation, and compute-storage separation
Proven ability to lead cross-functional teams across engineering, developer relations, and go-to-market functions
Hands-on experience developing agentic AI systems and successfully bringing agent-driven solutions from concept to market
Foundational AI skills and the ability to understand how AI can be applied to improve outcomes in your area of expertise

Job Responsibility

Serve as Teradata’s primary representative and advocate within the Apache Iceberg open-source community, building trust and credibility with contributors, committers, and the Apache Software Foundation (ASF)
Develop and execute a developer community strategy that grows Teradata’s mindshare among data engineers, lakehouse architects, and open-source contributors working with Apache Iceberg
Build and nurture relationships with the Apache Software Foundation, including participation in Iceberg PMC discussions, contributing to project governance, and representing Teradata’s interests in community roadmap decisions
Drive external thought leadership through conference talks (e.g., ApacheCon, Data + AI Summit, Subsurface), blog posts, technical papers, and social media engagement on Iceberg-related topics
Collaborate with partners and ecosystem vendors (e.g., cloud providers, compute engine vendors, catalog providers) to ensure Teradata’s Iceberg implementation is interoperable and well-positioned in the broader lakehouse ecosystem
Create and maintain developer-facing content including tutorials, reference architectures, and best-practice guides for using Iceberg with Teradata
Own the product roadmap for Iceberg integration within the Teradata platform, covering Iceberg read/write operations, catalog interoperability, metadata management, schema evolution, and partition optimization
Partner closely with database engineering teams to identify and drive performance improvements for Iceberg workloads, including query planning, predicate pushdown, data skipping, compaction, and table maintenance operations
Define product requirements for Iceberg-native capabilities such as time travel, snapshot isolation, branching and tagging, and hidden partitioning within the Teradata ecosystem
Conduct competitive analysis of Iceberg implementations across the industry (e.g., Snowflake, Databricks, Dremio, Cloudera) and translate insights into prioritized product investments

What we offer

We prioritize a people-first culture
We embrace a flexible work model
We focus on well-being
We are an anti-racist company
We foster an equitable environment that celebrates people for all of who they are

Fulltime

Director - IT Senior Group Manager (Platform Engineering and Optimization)

The Director - IT Senior Group Manager ( C15) is a senior management level posit...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant leadership and delivery experience in an Engineering focused role with extensive experience in global business, functional and people management
relevant degree in Engineering or computer science from reputed school. Masters degree preferred
Experience working in Financial Services or a large complex and/or global environment
Exposure to working with AI-assisted software development models, and experience implementing Gen AI use cases
Experience providing leadership for scaled agile release trains preferred
program management experience helpful
Demonstrated ability to influence remote, senior stakeholders including senior business executives
Experience in tracking and monitoring delivery, productivity and organizational health metrics
Experience planning, forecasting and managing technology budgets at team level, including project tracking and governance
Demonstrated systems thinking, critical analysis and design thinking skills

Job Responsibility

Lead and manage a set of engineering teams to deliver business and technology value, working with peers and partners. Actively speed up and improve engineering practices ensuring higher levels of productivity and quality
Define and implement the workforce strategy creating an organization of happy, productive, engaged, co-located engineering teams comprised of direct and supplier staff located globally, including workforce planning, hiring, performance , and pay management
Implement career development frameworks and processes for the team, providing coaching, mentoring and development of engineering and related job families
Be a great partner, but also hold your peers (development, testing , Architecture, Infra team etc) accountable for partnering in delivery
Managing Lower environment operations, observability, test data management and test automation will be key focus areas
Be a strong advocate for and drive the adoption of modern engineering practices including scaled agile, DevOps, CI/CD and automation, and build a culture of engineering and continuous improvement, with a focus on velocity, quality and agility
Stay abreast of domain and industry developments and advocate relevant technology strategies as appropriate, including the use of AI, cloud, data technologies, and third-party products, and drive a culture of innovation
Develop and implement the technology roadmap and strategy and provide ownership and direction for technology products, working in partnership with the application development team, business stakeholders, and other technology partners
Build productive relationships with business counterparts and support the execution of key programs working in partnership with business, infrastructure and security teams
Oversee the technology budget for the function and manage the budget and forecasts to ensure relevant targets are met

Fulltime

Senior Staff Data Scientist (AI Solutions - Machines)

As a Data Scientist at CyberArk, you’ll join a team shaping the future of identi...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

2-4 years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks
Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85
Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability
Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving
Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment
Strong communication skills and ability to explain technical concepts to different audiences

Job Responsibility

Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications
Explore and analyze large-scale datasets to uncover patterns and drive actionable insights
Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas
Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges
Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications

Fulltime

Staff Engineer-Applied AI

At Barclays, we don’t just adapt to the future, we create it. As a Staff Enginee...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
Experience in developing software applications for scale on cloud(AWS or Azure or GCP)
Fluent in Python or Java or GoLang programming language and frameworks
Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
Familiarity on working with MCP and A2A protocols
Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents
Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI
Strong understanding of AI implementation in software development and legacy code transformation
Experience in developing APIs and integrating LLM models into software applications
Ability to work on system design from ideation through completion with limited supervision

Job Responsibility

Lead the development of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation for specific business domains
Design and develop Full-Stack Multi Agentic AI systems using Agentic AI frameworks, LLMs and technologies, build function tools and integrate them with Back-End systems using REST-API, MCP or A2A protocols
Design, develop and Expose Agentic AI back-end, wrap existing back-end systems with MCP Servers to other agentic front-end and agentic back-end systems
Apply context engineering techniques such as context caching, context compression etc... to improve model’s (LLM) performance and response times
Implement guardrails & policy enforcement for safety and security risks that are required to duly comply with the organization’s data privacy and security standards
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Communicate effectively with both technical and non-technical stakeholders, including senior leadership
Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization
Analyze and interpret data to evaluate model performance and identify areas of improvement
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Health and wellness access to wellness rooms, gyms and mental health support
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

Senior Staff Technical Program Manager

We have a terrific opportunity for a Senior Staff Technical Program Manager with...

Location

United States , Oakland; New York; Irving

Salary:

153100.00 - 207000.00 USD / Year

SiriusXM

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Business Management, or equivalent practical experience
8+ years (or equivalent impact) leading complex, cross-organizational technical programs
Proven experience delivering and maintaining software at scale to millions of active users
Strong architectural literacy across multiple systems and platforms
Demonstrated ability to influence senior stakeholders without direct authority
Experience defining execution frameworks and operating rhythms at organizational scale
Exceptional communication skills, including executive-level storytelling and decision framing
Ability to operate effectively in fast-paced, ambiguous environments
Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.
Must have legal right to work in the U.S.

Job Responsibility

Own delivery of mission-critical, multi-year programs spanning multiple engineering organizations and technical domains
Define program strategy and execution, partnering closely with senior product and engineering leadership
Lead initiatives in highly ambiguous environments, establishing clarity, structure, and execution models
Anticipate, surface, and resolve systemic, cross-organizational risks and dependencies
Define and institutionalize org-wide program management frameworks, operating rhythms, and governance models
Remove structural blockers that impede execution across teams and domains
Shape architectural conversations by applying deep technical understanding to sequencing, trade-offs, and long-term platform implications
Drive executive-level communication, crafting concise, decision-ready narratives and scenario-based options
Mentor and coach Staff and Senior TPMs, raising the bar for execution excellence across the organization
Serve as a trusted advisor to Directors and VPs on delivery health, risk posture, and prioritization

What we offer

discretionary short-term and long-term incentives

Fulltime

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Senior Staff Engineering Manager - Applied AI

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