Specialist Solutions Architect – AI/ML

This is a fully remote position, open to applicants in Arizona.

📋 Description

• Spearhead advanced AI/ML technical strategies for clients.

• Take ownership of the complete AI/ML technical strategy from initial discovery to production deployment and consumption enhancement.

• Facilitate intricate architecture discussions regarding RAG, tool integration, multi-agent orchestration, guardrails, AI evaluation, and observability systems.

• Act as a reliable technical advisor for customer architects, engineering leads, and directors.

• Achieve technical successes in competitive environments through tailored solutions.

• Establish and announce an emerging technical specialization, becoming a key resource for the team.

• Coordinate with DSAs, SAs, and partners to provide comprehensive solutions.

• Shape product direction by offering structured feedback on customer needs and competitive gaps.

⛳️ Requirements

• Over 6 years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical position.

• Proficient in ML Engineering or AI Engineering.

• Experience in building and maintaining cloud infrastructure on AWS, Azure, or GCP for production ML applications and drift monitoring.

• Familiarity with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and APIs from LangChain, Hugging Face, or OpenAI.

• Strong coding skills in Python and SQL, including live coding, debugging, and solution development.

• Extensive knowledge of distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.

• Proficient in the Databricks Platform or capable of achieving proficiency quickly.

• Developing technical expertise in areas such as real-time/streaming, ML/AI, data governance, or migrations.

• Ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.

• Experience with production deployments on AWS, Azure, or GCP, covering infrastructure, security, and governance aspects.

• Proven track record of enhancing platform adoption and consumption growth within accounts.

• Exceptional communication skills to translate complex architectures into business value.

• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field, or equivalent experience.

• Willingness to travel up to 30% as required.

• Databricks certifications, experience with competitive platforms, a background in data/AI companies or cloud providers, and industry domain expertise are advantageous.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity options.

• Comprehensive benefits and perks, with specific offerings varying by region.

• Remote work opportunities.