AI Engineer - Manager

val's services; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

val's services is seeking an experienced AI/ML architecture and delivery lead to drive end-to-end design and development of AI/ML solutions on major cloud platforms. You will define architectures that integrate LLMs, generative AI, and traditional ML while overseeing projects and mentoring junior team members.

You will collaborate with clients to translate business needs into scalable technical solutions, lead workshops, and ensure best-practices in MLOps, security, and governance while staying

Qualifications

• Five+ years of experience in AI/ML, data engineering, or cloud solutions.
• Leadership or consulting experience for at least two years.
• Proficiency in Python, API development, microservices, containers, CI/CD, and MLOps frameworks.
• Experience with conversational AI, generative AI, AI security, and governance is preferred.

Responsibilities

• Lead end-to-end design and development of AI/ML solutions on cloud platforms (Azure, AWS, Google Cloud).
• Define solution architectures that incorporate LLMs, generative AI, and traditional ML; manage AI projects and ensure best MLOps practices.
• Collaborate with clients to translate business needs into technical solutions; mentor junior team members and lead workshops.

Skills

Python

API development

Microservices

Containers

CI/CD pipelines

MLOps frameworks

Conversational AI

Generative AI

AI security

Governance

Tools

Microsoft Azure

AWS

Google Cloud

Job description

Role Overview

The role involves leading the end-to-end design and development of AI/ML solutions using cloud platforms such as Microsoft Azure, AWS, and Google Cloud.

Responsibilities

• Responsibilities include defining solution architectures that incorporate LLMs, generative AI, and traditional ML, managing AI projects, and ensuring best practices in MLOps, security, and scalability.
• It requires collaborating with clients and stakeholders to translate business needs into technical solutions, leading workshops, overseeing deliverables, and mentoring junior team members.
• The position also involves staying current with emerging AI technologies, partnering with cloud ecosystem providers, and ensuring ethical AI practices.

Qualifications

• Qualifications include a minimum of five years of experience in AI/ML, data engineering, or cloud solutions, with at least two years in a leadership or consulting role.
• Proficiency in Python, API development, microservices, containers, CI/CD pipelines, and MLOps frameworks is essential.
• Experience with conversational AI, generative AI, AI security, and governance is preferred.
• Strong problem-solving, communication skills, and the ability to manage client relationships are required.

Additional Requirements

Applicants must be authorized to work in the U.S. without sponsorship.