5 publicaciones de empleo destacadas de data science en desde casa (¡Están contratando!)

Lead AI Engineer
EPAM Systems, Inc. —Desde casa
1d
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EPAM Systems, Inc. —Desde casa
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Lead AI Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Hace 1 día

Descripción completa del empleo

We are looking for a Lead AI Engineer to join our team. Our client is undertaking a substantial overhaul of its insurance technology framework, moving beyond conventional systems toward advanced, agent-powered AI architecture. This position places you within a geographically diverse team dedicated to engineering intelligent platforms that ease the burden of complex insurance operations, freeing brokers to invest more time in strategic thinking and building lasting client relationships.

Responsibilities

Uncover impactful ways to weave AI into different areas of Insurance Broking activity
Plan out, develop, and launch enterprise-scale AI platforms built to reduce complexity in insurance workflows
Construct AI-powered solutions that draw on LLMs, RAG, document handling, data extraction, categorization approaches, and agent-centric architecture
Team up directly with brokers, underwriters, and operations teams to uncover obstacles and design solutions capable of scaling
Hold end-to-end responsibility for AI products, spanning early ideation and prototyping to deployment, performance oversight, and continual improvement
Establish robust testing and assessment structures for AI platforms, covering benchmark performance, ongoing monitoring, and identification of hallucination issues
Lead swift experimentation efforts and advance progressive methodologies aligned with contemporary AI engineering trends
Elevate operational capacity, reduce time-to-completion, and improve overall business results through smart automation strategies
Serve as a mentor and technical resource for fellow engineers, encouraging dependable methods for AI system construction
Track evolving AI capabilities and put new technology to work solving problems particular to the insurance domain

Requirements

A Bachelor's or Master's degree in Computer Science, Engineering, or a similar area, or equivalent hands-on background
A minimum of 5 years of professional experience in Software Engineering, AI/ML, Machine Learning, or closely related fields
At least one year spent leading and overseeing development teams
Strong practical grasp of Python and TypeScript
Established track record of steering AI-powered products from early concept stages through to complete production deployment
Real-world experience implementing machine learning models and Large Language Models (LLMs) in operational contexts
Awareness of current software engineering methods, including CI/CD processes and containerized environments
Solid analytical abilities, dependable problem-solving instincts, and confident communication skills
Talent for presenting technical ideas in a manner that business audiences can readily grasp
Excellent English communication skills (B2 level or higher)

Nice to have

Background knowledge of (Re)Insurance Underwriting Operations to enhance familiarity with sector-specific processes
Grasp of Infrastructure as Code concepts, with an emphasis on security, to help ensure consistent and secure environment setups
Earlier work experience in the Insurance sector to add depth and relevance to AI solution development
Direct experience using Monitoring and Observability tools to sustain visibility into system performance following release
Proven Technical Leadership experience, including steering teams and defining long-range engineering direction

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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