Staff AI Engineer — AI Architecture

Elliptic develops blockchain intelligence technology that helps financial institutions, regulators, and law enforcement agencies identify financial crime and manage digital asset risk. This Staff AI Engineer position joins the company during a foundational phase of AI platform development, where key architectural decisions, agentic workflows, evaluation frameworks, and observability standards are being established. 

The role operates across multiple engineering initiatives, helping define scalable AI infrastructure, governance frameworks, and production-ready patterns that support customer-facing AI products. Working closely with engineering and product teams, the successful candidate will influence long-term AI strategy, platform standards, and blockchain infrastructure roles while ensuring reliability, auditability, and operational excellence across AI systems.

Relevant for organizations developing a web3 talent acquisition strategy around AI leadership and platform architecture.

Responsibilities

• Act as the architectural authority for early-stage AI platform decisions and technology evaluations.

• Assess tooling ecosystems, including LangSmith and Databricks, against the requirements of production-scale AI products and provide evidence-based recommendations.

• Collaborate with Investigations & AI and AgentForce engineering teams to ensure agentic architectures and evaluation frameworks are designed for customer-facing scale.

• Maintain an objective and documented AI stack evaluation process, including trade-offs, decision criteria, and architectural considerations.

• Define and promote engineering standards for AI systems, including observability, tracing, prompt management, version control, cost governance, evaluation frameworks, and agent reliability.

• Produce technical foundation documents that clearly outline architecture decisions, deferred considerations, and system capabilities.

• Advocate for AI adoption, engineering best practices, and enablement across product and engineering functions.

Suitable for teams looking to build a web3 engineering team with strong AI governance and platform foundations.

Requirements

🔹 Requirements

• Experience making production AI architecture decisions involving evaluation frameworks, LLM integration strategies, prompt management, versioning, and observability.

• Ability to assess technical trade-offs and guide long-term architectural direction using evidence-based decision-making.

• Experience working across internal tooling platforms and customer-facing AI products.

• Strong understanding of reliability, auditability, governance, and cost considerations in production AI systems.

• Experience designing or significantly influencing AI evaluation or observability frameworks in production environments.

• Ability to operate effectively as an individual contributor with influence driven through technical leadership rather than people management.

• Strong communication skills with the ability to align stakeholders around architectural decisions.

• Comfortable working across teams in environments with evolving requirements and ambiguity.

• Understanding of explainability, trustworthiness, reliability, and compliance requirements within AI systems.

Bonus Points

• Experience building production-grade agentic systems, including orchestration frameworks, tool integration, memory management, and reliability mechanisms.

• Familiarity with AI ecosystems such as LangSmith, MLflow, Databricks ML, or similar platforms.

• Experience leading the transition from isolated AI integrations to centralized AI platform architectures.

• Understanding of organizational and technical challenges associated with AI platform adoption.

• Interest in cryptocurrency, blockchain technology, and digital assets.

Relevant for professionals exploring remote web3 jobs focused on AI architecture, agentic systems, and blockchain intelligence platforms.

Compensation & Benefits

• Hybrid work model.

• Work-from-almost-anywhere flexibility for up to 90 days annually.

• £500 remote working budget for home office setup.

• $1,000 annual Learning & Development budget.

• 25 days annual leave plus bank holidays.

• Additional birthday leave day.

• Enhanced parental leave with 16 weeks fully paid leave for eligible employees.

• Private health insurance through Vitality.

• Access to Spill Mental Health Support.

• Life assurance coverage equal to four times salary.

• £100 cryptocurrency benefit.

• Cycle to Work Scheme.

Career Resources

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