Senior Manager, AI Engineer
The Coca-Cola Company1 day ago
Atlanta, GA, USAStaff+
Base Salary
$152k - $178k/yr
Responsibilities
- Develop, deploy, and operate domain-specific AI agents, generative AI solutions, LLM applications, and multi-agent systems in production.
- Build production-grade AI code and optimize models and inference pipelines for performance, reliability, scalability, and cost.
- Deploy and monitor AI and ML solutions on cloud infrastructure, including MLOps pipelines for training, versioning, inference, CI/CD, and monitoring.
- Integrate AI capabilities into enterprise platforms, APIs, product workflows, user-facing features, data platforms, and business systems.
- Implement AI observability and telemetry for tracing, reasoning diagnostics, token consumption, latency, cost, output quality, and guardrail violations.
- Design agent evaluation frameworks, benchmark datasets, regression tests, evaluation harnesses, and automated quality scoring.
- Engineer retrieval pipelines using semantic layers, knowledge graphs, vector search, business ontologies, embeddings, and GraphRAG.
- Implement AI safety controls such as policy enforcement, human-in-the-loop workflows, autonomy thresholds, prompt injection defenses, and secure tool execution.
- Manage prompt versioning, experimentation, routing strategies, cost optimization, and the production lifecycle for LLM- and agent-powered applications.
- Support digital twin capabilities through intelligent simulations, predictions, and decision-support workflows.
- Collaborate with technical leads, software engineers, data engineers, product teams, and AI engineers through design, testing, code reviews, and sprint execution.
- Maintain technical currency in AI, machine learning, and generative AI while contributing to engineering standards and internal knowledge sharing.
Requirements
- Bachelor’s or master’s degree in computer science, AI/ML, data science, software engineering, or a related technical field.
- 3 to 5+ years of hands-on AI or ML engineering experience with a record of taking AI models and solutions from development to production.
- Strong proficiency in Python and working knowledge of Java or C++.
- Experience building and deploying production LLM-powered and agentic AI applications using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, MCP, or A2A.
- Experience deploying and operating AI and ML solutions on cloud infrastructure; Azure is strongly preferred, with AWS or GCP also acceptable.
- Experience with vector databases, embeddings, retrieval-augmented generation, GraphRAG, semantic search, or context engineering.
- Experience developing RESTful APIs or integrating AI capabilities into enterprise applications.
- Experience with MLOps, LLMOps, or AgentOps, including versioning, evaluation, experimentation, routing, observability, cost optimization, and production lifecycle management.
- Strong software engineering fundamentals, including API design, testing, version control, containerization with Docker and Kubernetes, and AI model deployment and monitoring.
- Experience working in Agile delivery environments, including sprint execution, code reviews, and cross-squad collaboration.
- Experience implementing responsible AI practices, runtime guardrails, AI safety controls, explainability, data privacy, and secure agent execution.
- Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
Benefits
- Medical, financial, and other benefits are offered depending on the position.
- The position is located in Atlanta, United States, requires 0%–25% travel, and does not provide relocation.
- The position is not eligible for employment-based visa sponsorship, including H-1B sponsorship.
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About The Coca-Cola Company
The Coca-Cola Company is a global beverage manufacturer and brand owner that sells soft drinks, waters, juices, sports drinks, coffee, and dairy to consumers via retail and foodservice, largely through a franchised bottling system. Founded in 1892 and headquartered in Atlanta, it is a public company traded on the NYSE (KO) with products sold in over 200 countries and territories.