Lead AI Architect (Remote) - Forward Deployed

EPAM Systems; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology services provider is looking for a Lead AI Architect (Remote) to engage with enterprise clients and deploy impactful AI solutions. The role requires extensive experience in AI/ML systems, strong Python skills, and cloud deployment knowledge. You will work on translating high-level designs into functional systems while collaborating with client teams. This position offers the opportunity to build your technical and consulting skills in a dynamic AI environment.

Serviços

Impactful work with Fortune 500 enterprises

Hands-on experience with cutting-edge frameworks

Diverse problem-solving across industries

Strong team culture

Qualificações

• 5+ years of engineering experience in AI/ML systems deployment.
• Strong Python programming skills and familiarity with AI/ML frameworks.
• Hands-on experience with cloud deployment and orchestration in distributed environments.

Responsabilidades

• Engage with clients to deploy impactful AI solutions tailored to their environments.
• Build and integrate systems using LLMs and related tools.
• Translate high-level designs into functional production systems.

Conhecimentos

Python

AI/ML frameworks (LangChain, LlamaIndex, Hugging Face)

Cloud deployment (AWS, Azure, GCP)

Distributed systems

Debugging skills

Client-facing communication

Ferramentas

CI/CD tools

Vector databases

Descrição da oferta de emprego

Lead AI Architect (Remote) - Forward Deployed

Lead AI Architect (Remote) - Forward Deployed. This role engages with enterprise clients to deploy impactful AI solutions tailored to their environments, translating high-level designs into functional, reliable production systems.

Accountabilities

• Work with clients, PMs, and Architects to scope and deploy AI systems that solve real problems.
• Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases, and related tools.
• Navigate data access, authentication, security, networking, and complex enterprise environments.
• Translate high-level designs into working components that deliver measurable outcomes.
• Debug for reliability in production and maintainability of code.
• Write modular, reusable code balancing speed of delivery with long-term maintainability.
• Collaborate with client engineering teams to accelerate adoption and integration.
• Share field insights to inform reusable components in our platform.
• Document decisions clearly for clients and internal teams to build on your work.

Requirements

• 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
• Strong Python skills and familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector databases).
• Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
• Ability to debug real-world issues (auth failures, networking, data pipelines).
• Problem-solver who thrives in ambiguity, focused on delivery and reliability.
• Comfortable in client-facing environments—credible with engineers, clear with executives.

Benefits

• Impact: Ship AI systems that run at scale in Fortune 500 enterprises.
• Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts.
• Variety: Solve problems across industries, from finance to healthcare to defense.
• Culture: A team that prizes resilience, creativity, and practical delivery.
• Trajectory: Build technical and consulting skills in a demanding AI delivery role.

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