At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

The Geico AI Agent Platform team is seeking an exceptional Senior Staff
Software Engineer to build the next generation enterprise Agent OS and
SDKs. This role combines deep technical expertise in platform engineering,
application design and agentic workflows with strong leadership and
mentoring capabilities. You will be responsible for designing, implementing,
and maintaining scalable, reliable frontend and backend systems that enable
our business, product and engineering teams to build, test and deploy their
own AI agents & workflows. The candidate must have excellent
communication skills and a proven track record of delivering business value
via technical excellence.
 KEY REPONSIBILITIES:
1. Platform Engineering:
Architect and implement scalable multi-tenant backend systems for
building AI agent workflows, including agent configuration, offline
evaluation, synthetic data generation, workflow simulation, agent
marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc.,
ensuring economy of scale and control cost of maintenance.
Collaborate with Design team to architect and implement frontend
experiences and workflows for onboarding both technical and non-
technical stakeholders, maximizing user adoption and successful AI
agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI
agent platforms through robust monitoring, alerting, and incident
response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks,
libraries and vendors to maintain a state-of-the-art technology stack,
including hybrid cloud solutions with AWS/GCP as backup or
specialized use cases
Architect and implement scalable, high-performance machine learning
platforms and systems capable of processing large data volumes and
supporting real-time decision making and workflows.
2. DevOps/Application Lifecycle Management:
Oversee the end-to-end lifecycle of AI agent applications, ensuring
robust testing, deployment, and ongoing monitoring.
Ensure adherence to company production readiness standards,
security protocols, and regulatory compliance throughout the
development lifecycle.Continuously optimize platform performance, reducing latency and
improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans
for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment
using Azure DevOps, GitHub Actions, and MLOps tools
3. Technical Leadership:
Act as the tech lead across multiple sub-teams/initiatives, setting
technical direction and ensuring consistency in design principles and
best practices.
Provide hands-on mentorship and guidance during design reviews,
code assessments, and performance tuning.
Lead by example in tackling complex technical challenges and driving
system-wide architectural improvements.
Establish and champion engineering standards for ML infrastructure,
deployment practices, and operational procedures
Create technical documentation, runbooks, and deliver internal training
sessions on platform capabilities
4. Cross-Functional Collaboration:
Work closely with data scientists, software engineers, and product
teams to seamlessly deploy ML systems into production
environments.
Translate complex technical concepts into actionable insights for both
technical and non-technical stakeholders.
Foster a collaborative environment that encourages innovation and the
sharing of best practices across teams.
Present technical solutions and platform roadmaps to leadership and
cross-functional stakeholders
 QUALIFICATIONS:
Technical Skills
Bachelor’s degree in computer science, Engineering, Mathematics, or a
related field; an advanced degree (master’s or Ph.D.) is highly
desirable.
10+ years of hands-on experience in designing, implementing, and
maintaining multi-tenant AIML systems and platforms in production
environments.
10+ years of experience working with cloud platforms such as Azure
and AWS.
Extensive expertise in designing and deploying large-scale data
pipelines and real-time inference systems and managing the end-to-
end AI Agent and/or AIML system development lifecycles, including
configuration, evaluation, monitoring, observability and AuthN/AuthR
considerations
8+ years of experience working with common backend systems & tools
(e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J,
etc.). Deep understanding of Docker, container optimization, and multi-stage builds. Experience with Prometheus, Grafana, Open Telemetry
and distributed tracing
4+ years of experience building front-end web applications using
frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go,
etc., with a strong emphasis on coding excellence. Extra credit for
properly leveraging AI coding tools such as Cursor for productivity
gains
Proficiency in AIML frameworks such as TensorFlow, PyTorch, Langraph,
etc.
Leadership Skills:
Demonstrated track record of mentoring engineers and leading
technical initiatives
Proven ability to tackle complex technical challenges, innovate through
hands-on experimentation, and set technical standards.
Excellent verbal and written communication against audience of
diverse seniority levels and professional backgrounds
Preferred Specialized Skills
Understanding of AI safety principles, model governance, and
regulatory compliance
Background in regulated industries with understanding of data privacy
requirements and cybersecurity review processes
Deep expertise operating and/or building AI agent platforms &
capabilities like Langsmith/Langraph platform, Autogen, N8N, Crew.ai,
Dify.ai etc.
Experience building LLM-based AI agent workflows via both no
code/low code and traditional high-code development environments
Experience utilizing both open source (e.g. llama, Qwen, Mistral) and
proprietary (e.g. GPT, Claude) LLMs for appropriate tasks
If you are passionate about pushing the boundaries of generative ai
platforms, thrive in a hands-on technical leadership role, and enjoy solving
complex, large-scale problems, we encourage you to apply.Location - Remote

 

Annual Salary

$115,000.00 - $300,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

 

The GEICO Pledge:

Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.  You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

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.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.