AI/ML Architect - Consultant / Senior Consultant (US - WEST)
$116,000-$145,000
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Posted 46 days ago
SENIORITY
Senior
SALARY
$116,000-$145,000
About the role
- Design, build, and deploy generative AI and machine learning solutions that solve business problems and improve how people work* Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate.* Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems.* Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.* Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development.* Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge. What You'll Bring* 3+ years of experience implementing models or machine learning algorithms into production.* 2-4 years of professional Managed or IT Professional consulting experience. * Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.* Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions.* Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)* Hands-on experience building generative AI solutions using LLMs, embeddings, vector search, RAG, agents, prompt engineering, fine-tuning or model adaptation, or similar techniques.* Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift.* Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls.* Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation.* Excellent python, especially for ML/AI use cases.* Data Science and/or Data Engineering background preferred. * Nice to have:* Experience in a sales support role, within Data Science, Machine Learning, or AI.* Familiarity with leading data platforms like Databricks and Snowflake, and their basic services.* Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
