Sr/Distinguished Architect, AI Systems & Agentic AI

Burtch Works; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Burtch Works is seeking a Senior / Distinguished Architect for AI Systems and Agentic AI to lead hands-on system design and prototyping across the company’s platform. You will work directly with AI leadership and cross-functional teams to advance enterprise AI capabilities.

The role emphasizes deep technical expertise across AI generations, from traditional ML to foundation models, with a focus on safe, scalable, and observable systems.

Qualifications

• 15+ years of deep software engineering experience designing, building and scaling enterprise platforms.
• Strong foundation in ML/DL, foundation models, agents and AI systems.
• Deep technical capability with practical impact beyond publications.

Responsibilities

• Architect AI systems and agentic infrastructure for enterprise platforms.
• Lead integration of AI models with enterprise data and semantic layers.
• Advance time-series, embeddings, anomaly detection, probabilistic modeling, and causal inference.
• Create reusable abstractions and patterns for safe, high-performing AI solutions.
• Establish rigorous evaluation, benchmarking, and ROI-focused validation.
• Collaborate with product, engineering, data, and field teams across the company.
• Maintain hands-on coding, prototyping and experiments while guiding teams.

Skills

AI/ML breadth

System design

Research-to-production

Collaborative leadership

Education

Bachelor's in CS/ML/Statistics or related

PhD preferred

Job description

Senior / Distinguished Architect, AI Systems & Agentic AI

Remote (US)

About The Company

Our client is a fast-growing, AI-first enterprise software company. Its planning platform helps some of the world’s largest brands make faster, smarter decisions. It brings planning work that usually sits in separate silos onto one platform, which cuts waste and recovers value that large enterprises lose to inefficiency. The company is well funded, operates globally and has a strong record of growth.

The Role

The company is looking for an exceptional AI technologist to help define and build the next generation of AI across its platform and solutions. This is a deeply technical, senior individual-contributor role. You’ll work closely with the company’s AI and technology leadership and with teams across AI, product engineering, semantic systems, data and forward-deployed engineering (FDE). \"Architect\" is the company’s senior individual-contributor technical track. Architects stay hands‑on: they design systems, build prototypes, write and review code, run experiments and work directly with engineering teams on hard technical problems. The company is looking for someone with deep, hands‑on experience across the evolution of AI, from traditional machine learning through deep learning and representation learning to foundation models, language models, agents and modern AI systems.

The Mission

Make AI a deep technical capability across the whole company. That means advancing the company’s agentic foundation, applying the right AI methods to enterprise problems, and giving product teams, FDEs and partners the building blocks to create sophisticated AI capabilities quickly, safely and rigorously.

What You’ll Do

• Agentic AI Infrastructure: Work with AI leadership to advance the company’s core agentic platform. Design reusable building blocks for context orchestration, tool calling, structured outputs, persistent memory, multi‑agent composition, observability, sandboxed execution and human‑in‑the‑loop governance.
• Enterprise Knowledge Integration: Lead the integration of advanced AI models with the platform’s enterprise data and semantic layer. Design hybrid AI systems that pair generative models with structured, rule‑based domain logic, so decisions across complex data sets are precise, explainable and compliant with policy.
• Core ML & Predictive Intelligence: Push the platform’s AI capabilities beyond generative AI into time‑series forecasting, representation learning, embeddings, anomaly detection, probabilistic modeling and causal inference, so each enterprise problem gets the right method.
• Closed-Loop Decision Systems: Build learning mechanisms that use past forecasts, recommendations, human overrides and real operational outcomes to keep improving accuracy, agent policies and automated workflows.
• Evaluation & Rigor: Set up rigorous, enterprise‑grade evaluation frameworks for AI and agent performance. Go beyond demos by benchmarking accuracy, grounding, constraint adherence, failure handling, reproducibility and real business ROI.
• Platform Leverage & Abstraction: Create high‑leverage abstractions, shared libraries and architectural patterns that let hundreds of product engineers, field engineers and partner teams build safe, high‑performing AI solutions quickly.
• AI‑Native Engineering Practice: Champion modern AI‑assisted development and prototyping tools to speed up engineering across the codebase, while keeping close technical oversight of generated code, system logic and experimental conclusions.

What You’ll Bring

• Experience: 15+ years of deep software engineering experience, with a proven record of designing, building and scaling advanced enterprise software platforms.
• Education: A bachelor’s degree in Computer Science, Machine Learning, Statistics or a related quantitative field; a PhD is preferred. Deep technical capability and practical impact matter more than formal credentials.
• AI/ML Breadth & Depth: Extensive experience across several generations of AI, from classical statistical learning and deep learning to modern foundation models, LLMs, retrieval systems and agentic frameworks.
• Mathematical Foundations: A strong foundation in probability, statistical learning, optimization, linear algebra and experimental design.
• System Design & Production Track Record: A proven record of turning research into scalable, highly available production AI systems, not only publishing papers or calling public APIs.
• Experimental Rigor: A strong instinct for measurement, observability, edge‑case failure analysis and benchmark design.
• Collaborative Technical Leadership: The ability to work smoothly with experts in database systems, mathematical optimization, semantic modeling and enterprise product engineering.

Why This Role

• You’ll shape the AI strategy and agentic foundation of a platform that is used to automate millions of enterprise decisions.
• You’ll work directly with a CTO and AI leadership team who are deeply technical and still write code every day.
• You’ll apply the full range of AI, from classical ML to agents, to high‑stakes, real-world enterprise problems.

Our client is an equal-opportunity employer and welcomes applicants from all backgrounds.