Hollstadt Consulting · 2 days ago
AI/ML Architect
United States
Full-time
Remote
Senior Level, Lead/Staff
$135K/yr - $175K/yr
8+ years expHollstadt Consulting is seeking an AI/ML Architect to lead the architecture and strategic direction of enterprise-grade AI solutions. The role involves designing, building, and scaling both traditional ML and Generative AI solutions, ensuring they are robust and aligned with business objectives.
Consulting
Responsibilities
Lead the hands-on architecture, development, and deployment of production-grade AI/ML systems, ensuring scalability, reliability, performance, and cost-efficiency
Architect traditional ML solutions (e.g., classification, regression, recommendation systems) and advanced GenAI systems including Retrieval-Augmented Generation (RAG) and Agentic AI
Design and implement cloud-native AI/ML pipelines using cloud platforms
Evaluate, prototype, and build PoCs regularly to test architectural decisions, validate feasibility, and accelerate solution delivery
Integrate and deploy multiple LLMs (e.g., from OpenAI, Claude, Gemini, LLaMA, Hugging Face) and vector databases (e.g., Pinecone, Qdrant, pgvector, Milvus, Weaviate)
Create reusable frameworks and solution templates that drive consistency, speed, and quality across AI initiatives
Ensure all solutions are aligned with responsible AI standards, security best practices, and enterprise governance
Explore and implement emerging AI paradigms, including agentic AI, Model Context Protocol (MCP), and Google’s Agent-to-Agent (A2A) protocol
Drive innovation by recommending and evaluating GenAI tools, third-party orchestration frameworks, and SaaS integrations
Develop a forward-looking technical roadmap that balances short-term deliverables with long-term innovation
Stay current with cutting-edge trends in LLMOps, AI observability, and intelligent automation platforms
Leverage AI coding assistants (e.g., Claude Code, AWS Bedrock, GitHub Copilot) to boost productivity
Collaborate with data scientists, ML engineers, software engineers, and enterprise architects to translate business needs into scalable AI solutions
Provide technical guidance, mentorship, and architectural direction to teams working across the AI/ML lifecycle
Work in agile teams, contributing hands-on while also shaping backlog priorities and solution design
Partner cross-functionally to integrate AI into enterprise systems (e.g., Salesforce, Snowflake, Oracle)
Qualification
Required
Knowledge of scalable architecture patterns for traditional ML and GenAI
Knowledge of multi-cloud AI/ML services including AWS (SageMaker, Bedrock etc) and at least one of Azure (ML, OpenAI) or GCP (Vertex AI)
Strong familiarity with multiple LLMs and embedding models (e.g., OpenAI, Anthropic, Meta, Google, Hugging Face)
Proficiency in contextual memory and multiple vector databases for semantic search
Knowledge of MLOps and LLMOps practices, including CI/CD, model monitoring, versioning, drift detection, and governance
Knowledge of prompt engineering and management practices, including prompt versioning, A/B testing of prompts, and experience with prompt management tools
Knowledge of AI/ML observability stacks such as Weights & Biases, Langsmith or similar tools
Hands-on experience designing and building AI/ML solutions from prototype to production
Strong Python development skills, including frameworks and libraries for ML, GenAI, and software engineering best practices
Experience with TensorFlow and/or PyTorch for training and deploying models
Deep understanding of software engineering, including modular design, testing, version control (Git), and CI/CD pipelines
Proven track record of building and running PoCs to validate architecture and feasibility
Experience working in agile environments, participating in sprints and cross-functional delivery
Ability to communicate technical concepts clearly to a wide range of stakeholders
Eagerness and ability to quickly learn and apply new AI/ML and automation technologies
Bachelor's degree in computer science, Engineering, or a related field (Master's preferred)
8+ years of experience in AI/ML engineering or architecture roles
Strong portfolio of real-world deployments in both traditional ML and GenAI
Preferred
Master's or PhD in a technical field
Experience architecting agentic AI systems and multi-agent orchestration workflows
Experience in regulated industries, especially healthcare or finance
AI/ML certifications from AWS, Azure, or GCP
Contributions to open-source AI/ML projects or published research
Company
Hollstadt Consulting
Hollstadt Consulting, a woman-owned firm in Minnesota.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
M
Molly Jungbauer
CEO
Recent News
Company data provided by crunchbase