Lead AI Engineer, Agents
Hypersonix Inc.
AWSAzureCloudPythonSQL
Principal Generative AI Engineer
MCG Health
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $183,600 - $257,040 per year
Job Level
Lead
Tech Stack
AWSAzurePython
About the role
- Act as principal advisor on GenAI strategy, architecture, and governance; lead the application of existing principles and develops new approaches where needed.
- Tackle ambiguous, high-impact problems with long-term horizons; decisions affect multiple functions and strategic objectives.
- Exercise broad autonomy in determining objectives and approaches; build formal networks with key decision makers; serve as an internal spokesperson and thought leader.
- Own the multi-year GenAI strategy and roadmap for operational systems; translate strategic goals into a prioritized portfolio with clear ROI.
- Lead the design, build, and productization of agentic AI systems, progressing from assistive AI to supervised autonomous domain agents grounded on trusted data and orchestrating cross-system actions
- Architect reference patterns for RAG, agentic workflows, and copilots integrated with systems like Salesforce (CRM), Gainsight (Customer success operations), and Marketo (Marketing automation)
- Lead end-to-end execution—from problem framing and data contracts through deployment, observability, and continuous improvement—while influencing executive stakeholders and setting cross-org standards
- Establish and govern GenAI platform foundations: orchestration, evaluation harnesses, vector search, prompt/version management, A/B testing, telemetry, and quality/cost/latency guardrails.
- Define model strategy (open-source and proprietary), safety controls, PII handling, and responsible AI practices aligned to security, privacy, and regulatory requirements.
- Set engineering standards and LLMOps practices (CI/CD, canarying, rollback, red-teaming, data governance, incident response) adopted across functions.
- Partner with Sales Operations, Contracts, Finance, Licensing, Education & Support, Marketing, Account Management, and Business Systems to turn manual, error prone work into automated, reliable workflows.
- Educate and enable teams, both technical and non-technical, on leveraging AI solutions to improve operational effectiveness, fostering adoption and comfort with new technologies.
- Fine-tune language models and other AI capabilities to address organization-specific needs for custom use cases
- Create full-stack development from proof-of-concept to front-end UI
- Evaluate, measure, and improve performance on a continuous basis
- Stay up to date on industry developments
Requirements
- 10+ years of professional software engineering experience, with a strong background in designing, building, and maintaining complex systems.
- Deep expertise building and operating production GenAI/LLM systems: prompt design, function/tool calling, RAG, agents, evaluation, safety, and cost/latency optimization.
- Proficiency in Python and modern backend stacks; strong knowledge of embeddings and vector stores (e.g., Pinecone, Weaviate, FAISS) and document processing.
- Mature LLMOps/MLOps practices: experiment tracking, model registry, CI/CD, tracing/telemetry, automated evaluations, and incident response.
- Enterprise integration experience across Business Systems (APIs, iPaaS, middleware), data governance, and change management.
- Proven ability to influence senior stakeholders, set direction under ambiguity, and deliver multi-function impact; excellent communication and mentorship skills.
- Proven experience designing, implementing, and operating autonomous AI agents, with production-grade safety/guardrails, evaluation harnesses, and observability—delivering reliable outcomes under cost/latency/SLO constraints
- Deep experience architecting and operating GenAI workloads on Azure and/or AWS
- Strong knowledge of software engineering best practices
- Knowledge of business operations
- Experience with process mapping, workflow design, and identifying operational inefficiencies
- Experience in change management to drive adoption and integration of AI solutions across the organization.
- Deep problem-solving mindset with the ability to translate business challenges into AI-powered solutions
- Demonstrated ability to work independently and drive initiatives forward with minimal guidance.
- Excellent written and verbal communication skills with the ability to present to technical, non-technical, and executive audiences
- Strong problem-solving and troubleshooting ability
- Strong analytical ability for solving operational problems
- Collaborative mindset with a track record of effective teamwork
Similar jobs on JobTailor
AI Solutions Architect
NTT DATA Romania
AWSAzureCloudCyber SecurityITSMJavaPython
Principal Software Developer
General Dynamics Information Technology
AWSCloudDockerGraphQLKubernetesMicroservicesPythonRubyRuby on RailsVBA
Senior AI Engineer
Precision Medicine Group
AWSCloudDjangoFlaskPythonReactTypeScript
Staff Engineer, System Verification
Shure Incorporated
AWSAzureCloudDockeriOSIoTJavaJavaScriptJenkinsJMeterKubernetesMicroservices+2 more