Senior AI Engineer, Applied AI Solutions
$195,000.00 - $225,000.00
Apply (opens in a new tab)Senior AI Engineer, Applied AI Solutions
Posted 49 days ago
SENIORITY
Lead
SALARY
$195,000.00 - $225,000.00
About the role
- Agentic Solution Design & Architecture
- Architect and deliver multi-step, tool-using agent systems that automate complex enterprise workflows end-to-end
- Partner with business leaders to identify high-friction processes, define requirements, and translate ambiguity into structured, scalable solutions
- Decompose workflows into deterministic, automatable components and design agent architectures that drive enterprise-wide efficiency and reuse
- Develop orchestration logic across APIs, data sources, and large language models, ensuring reliability, performance, and scalability
- Design around platform constraints, leveraging creative engineering approaches to unlock capabilities rather than being limited by them
- Engineering Execution & Platform Orchestration
- Build and deploy production-grade systems, including RAG pipelines, tool integrations, and API-driven workflows
- Rapidly prototype across AI platforms (e.g., Google Gemini, Claude, Perplexity AI) to validate feasibility and inform platform strategy
- Select and integrate the optimal models, tools, and ecosystems based on use case requirements, not platform bias
- Lead end-to-end development from zero-to-one prototypes through scaled, production-ready systems
- Ensure solutions are extensible, modular, and designed for enterprise adoption
- Workflow Transformation & Stakeholder Integration
- Work directly with cross-functional stakeholders to map workflows, align on outcomes, and operationalize AI-driven transformation
- Translate business needs into technical architectures that deliver measurable impact on efficiency, throughput, and quality regularly optimizing for future scale
- Collaborate across product, design, data, and engineering teams to ensure solutions are usable, adopted, and outcome-driven
- Innovation & Experimentation Operate at the forefront of the AI ecosystem, continuously evaluating emerging models, tools, and frameworks
- Lead rapid experimentation cycles across LLMs, RAG architectures, and agentic systems, iterating based on performance and user feedback
- Champion a culture of applied innovation, balancing speed, rigor, and scalability
- Drive the adoption of cutting-edge capabilities to maintain competitive advantage and unlock new enterprise value
- Qualifications & Experience
- Experience working across multiple AI platforms and systems (e.g., Gemini, Claude, Perplexity) and evaluating tradeoffs between them
- Experience integrating AI systems with enterprise tools and data platforms (e.g., Snowflake, BigQuery, SharePoint, Salesforce)
- Familiarity with enterprise security models, data access controls, and permission-aware system design
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.
