2 publicaciones de empleo destacadas de data software engineer en desde casa (¡Están contratando!)

Lead AI Engineer
EPAM Systems, Inc. —Desde casa
13h
AWS DevOps Engineer
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Lead AI Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Hace 13 horas

Descripción completa del empleo

We are looking for a Lead AI Engineer to join our team. Our client is executing a far-reaching modernization of its insurance technology stack, pivoting from legacy tools toward next-generation, agent-based AI infrastructure. In this role, you'll be part of a team spread across multiple regions, working to develop intelligent platforms that take the complexity out of insurance operations, giving brokers greater capacity to focus on strategic priorities and deepen client connections.

Responsibilities

Discover practical applications for AI that can create measurable value across Insurance Broking functions
Map out, engineer, and deploy large-scale AI platforms designed to cut through complexity in insurance-related tasks
Develop AI-based tools built around LLMs, RAG, document management, data extraction, classification logic, and agent-oriented system structures
Engage directly with brokers, underwriters, and operational staff to identify friction points and build solutions engineered to grow with demand
Carry full ownership across the AI product lifecycle, from concept exploration and prototyping through to release, performance supervision, and iterative improvement
Design comprehensive evaluation frameworks for AI platforms, encompassing benchmarking, real-time monitoring, and detection of hallucination-related errors
Head up rapid-cycle experimentation while advancing modern approaches consistent with current AI engineering practices
Drive improvements in operational throughput, shrink completion timelines, and lift business performance through intelligent automation methods
Act as a guide and technical sounding board for other engineers, promoting solid practices in building trustworthy AI systems
Monitor developments in the AI space and apply new capabilities toward resolving issues specific to insurance operations

Requirements

A Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent practical exposure
At least 5 years of professional background in Software Engineering, AI/ML, Machine Learning, or fields of similar nature
A minimum of one year spent guiding and managing development teams
Confident, hands-on familiarity with Python and TypeScript
Demonstrated experience shepherding AI-powered products from initial concept all the way through to full production rollout
Applied experience working with machine learning models and Large Language Models (LLMs) in live, practical settings
Familiarity with present-day software engineering practices, including CI/CD pipelines and containerized deployment models
Strong capacity for analytical thinking, sound problem-solving judgment, and clear, assured communication
Ability to distill technical subject matter into terms easily understood by non-technical business stakeholders
Excellent English communication skills (B2 level or higher)

Nice to have

Familiarity with (Re)Insurance Underwriting Operations to build a deeper understanding of industry-specific workflows
Working understanding of Infrastructure as Code, with particular focus on security considerations, to support dependable and protected environment configurations
Previous professional exposure to the Insurance industry to strengthen the practical relevance of AI solution design
Applied experience with Monitoring and Observability solutions to preserve ongoing insight into post-deployment system behavior
Solid history of Technical Leadership, including guiding teams and shaping the broader direction of engineering efforts

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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