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Added 18 mins ago
CB
Information Security Engineer
Congressional Budget Office
Washington, DC
- $120,000 to $185,000 USD / year
…audit logs, developing a zero trust architecture, identifying system vulnerabilities, and performing threat hunting to proactively identify and mitigate risks. The most important…
Added 26 mins ago
UG
Advisory Services Analyst, Consultant Development Program - AI/ML Engineering Track - Multiple Locations
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
…a shared focus on serving our clients and making the health system work better for everyone. You’ll complete structured consulting and healthcare training, receive mentorship from…
Added 31 mins ago
E
Medical Device Account Executive - Houston, TX
EnsoData
Remote, United States
- $90,000 to $220,000 USD / year
…waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our…
Added 31 mins ago
E
Medical Device Account Executive - Philadelphia, PA
EnsoData
Remote, United States
- $90,000 to $220,000 USD / year
…waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our…
Added 31 mins ago
E
Medical Device Account Executive - San Antonio, TX
EnsoData
Remote, United States
- $90,000 to $220,000 USD / year
…waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our…
Added 52 mins ago
UC
Research General Engineer
U.S. Coast Guard
New London, CT
- $120,094 to $156,124 USD / year
…to the fleet. Specific competencies include remote sensing, machine learning, computer vision, control systems, uncrewed systems, advanced networking, test engineering, and integration of…
Added 1 hour ago
J
Senior ML Engineer
Jobgether
Remote, United States
- $159,000 to $195,000 USD / year
This role offers an opportunity to build production-grade machine learning solutions addressing complex challenges in the energy sector. You will develop forecasting and optimization models…
Added 2 hours ago
XT
🌎 ML Engineer (MSc. or PhD), Remote- Contract
Xperteez Technology
Remote, United States
- $60 to $120 USD / hour
The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model,…
Added 2 hours ago
Sr Lead Software Engineer
JPMC page
Plano, TX
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
Added 3 hours ago
J
Senior Software Engineer
Jobgether
Remote, United States
- $170,000 to $200,000 USD / year
Knowledge of query optimization, machine learning, or algorithm development.
Added 3 hours ago
J
Senior Backend Cloud Engineer
Jobgether
Remote, United States
- $120,000 to $170,000 USD / year
…ransomware and emerging digital threats. As a Senior Backend Cloud Engineer, you will play a key role in designing, building, and evolving scalable cloud-based data platforms and API…
Added 5 hours ago
J
Senior QA/SDET
Jobgether
Remote, United States
- $180,000 to $210,000 USD / year
Collaborate with machine learning engineers to validate model and pipeline changes using regression datasets and accuracy benchmarks.
Added 6 hours ago
Software Engineer Planning
Deeproute.ai
Fremont, CA
…uncertainty, probabilistic robotics, data analysis at scale, machine learning at…
Added 7 hours ago
Electrical Hardware Engineer Intern
Hewlett Packard Enterprise
Sunnyvale, CA
This role is ideal for a student interested in learning about complex hardware design environments, supporting hardware design processes, setup and installation of complex CAD tools, setup…
Added 7 hours ago
O
Member of Technical Staff, Forward Deployed Engineer
Odyssey
Palo Alto, CA
- $164,800 to $508,000 USD / year
- Deeply technical, with experience in world models, generative video, multimodal learning, robotics, autonomous systems, reinforcement learning, computer vision, or large-scale machine…
Added 8 hours ago
Software Engineer
CassianRx
Bala Cynwyd, PA
Added 9 hours ago
C-
Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
Improve and consolidate internal machine learning systems
Added 10 hours ago
A
Principal Software Engineering - Reliability and FinOps Engineer
AT&T
Middletown, NJ
- $155,400 to $261,100 USD / year
As a Principal System Engineer, you will serve as a senior technical leader across FinOps, cloud optimization, system reliability, and AI-driven automation. You will shape and execute…
Added 10 hours ago
C
Senior Applications Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
The Senior Applications Engineer analyzes and studies complex system requirements and leads the design and implementation of software tools and subsystems that support software reuse and…
Added 11 hours ago
TT
Founding Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $250,000 USD / year
Join a small, early-stage team building an advertising technology platform. As Founding Engineer, you will own and develop the production recommendation system, with impact across data,…
Added 14 hours ago
Machine Learning System Software Engineer
Apple
Sunnyvale, CA
…and hardware optimization, we want you to join our team! As a Machine Learning System Software Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance,…
Added 15 hours ago
Data Engineer, Senior
BOOZ, ALLEN & HAMILTON, INC.
Charlottesville, VA
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data…
Added 15 hours ago
ENGINEER TEST OPERATIONS 1
HII
Newport News, VA
…workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration…
Added 15 hours ago
Nuclear Engineer 3 - 31033
HII
Newport News, VA
Know & Grow Your People - Commit to learning and supporting team success.
Added 15 hours ago
Engineer Nuclear 1 - 30456
HII
Newport News, VA
Know & Grow Your People - Commit to learning and supporting team success.

Closed listing

Coca-Cola North America

Senior Manager, AI & Analytics Engineering

Atlanta, GA, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Closing date: Nov 7, 2026
Posting language: English
Posted: Oct 30, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Description Summary:

The Senior Manager, AI & Analytics Engineering will be a hands-on technical leader who turns high-value business and analytical problems into production agents and analytical solutions. The team is building for more than 1,000 users across Commercial, Strategy, Customer, Marketing, Category Advisory, and Executive Leadership. This person will partner across those groups and with analytics, data science, engineering, and product teams to identify opportunities, design practical approaches, build working capabilities, and drive adoption across North America.

The role combines applied AI, analytics engineering, and system design. This person will build agents and analytical applications while strengthening the reusable services, governed data access, evaluation, security, observability, and deployment patterns behind them. They will balance speed and business value with analytical integrity, reliability, scale, and cost.

What You'll Do for Us:

Build AI and analytics solutions that create value

Partner with business leaders to identify and prioritize high-value use cases, then translate ambiguous questions and analytical needs into clear solution designs, working prototypes, and production capabilities used in real decisions and workflows.
Personally build AI agents, analytical applications, and supporting services; own delivery from opportunity framing and architecture through testing, deployment, adoption, and improvement.
Choose the right approach for the problem, combining deterministic analytics, machine learning, retrieval, large language models, and agentic workflows where each adds value.

Connect AI with trusted analytics

Partner with business experts, analysts, data scientists, and data engineers to preserve business definitions, metric grain, filters, source, freshness, lineage, and authorization in AI-enabled analysis.
Integrate solutions with Microsoft Fabric, OneLake, Lakehouses, Warehouses, Power BI semantic models, Azure Machine Learning, Azure AI Search, and other approved enterprise capabilities.
Build secure, parameterized APIs and tools, including MCP-compatible services, that connect agents to governed data, analytical methods, applications, and business workflows.

Strengthen the reusable engineering foundation

Build reusable patterns for model access, orchestration, retrieval, context and memory, tool execution, structured responses, human approvals, workflow recovery, and automation.
Engineer production Python and API services with automated testing, CI/CD, monitoring, and clear operational ownership; design for performance, concurrent demand, reliability, scale, and cost efficiency.
Evaluate frameworks and managed services through working prototypes and measurable trade-offs, using pragmatic architecture that avoids unnecessary complexity and lock-in.

Ensure quality, governance, and continuous improvement

Build evaluation and regression capabilities using benchmark datasets, known-answer tests, adversarial scenarios, release gates, end-to-end tracing, and production telemetry.
Measure analytical accuracy, task completion, adoption, latency, throughput, reliability, token and compute use, and cost per successful workflow; use the evidence to improve solutions through controlled, versioned releases.
Implement secure identity, authorization, guardrails, audit logging, human review, and responsible AI controls in partnership with Architecture, Security, Privacy, and Data Governance teams.

Provide hands-on technical leadership

Operate as a player-coach: contribute production code, lead system-design decisions, review code and architecture, mentor engineers, and establish practical standards that improve delivery across the team.
Explain technical choices, risks, and trade-offs clearly to business and technical stakeholders, and help teams turn emerging AI capabilities into useful, supportable products.

Qualifications & Requirements:

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, Engineering, Analytics, or a related field, or equivalent practical experience.
Eight or more years of experience across AI, software, data, platform, analytics, or machine-learning engineering, shipping solutions that serve users.
Recent hands-on experience personally building and shipping AI, analytical, machine-learning, or data products using Python, SQL, APIs, or comparable tools, plus practical exposure to large language models or agentic workflows.
Strong analytical reasoning and experience with SQL-based data systems, semantic models, Lakehouse architecture, governed data products, or comparable enterprise analytical environments.
Sound cloud and system-design fundamentals, including testing, asynchronous workloads, security, observability, reliability, deployment, performance, scalability, and cost management.
Ability to take an ambiguous problem from business need through architecture, implementation, and adoption while influencing engineering, data science, analytics, security, and business teams.

Preferred Experience:

Microsoft Fabric, OneLake, Power BI semantic models, Azure Machine Learning, Microsoft Foundry/Azure OpenAI, Azure AI Search, and related Azure services.
Hands-on experience with AI development tools and platforms such as OpenAI Codex, Anthropic Claude, Azure OpenAI, or comparable enterprise-approved capabilities.
Modern agent frameworks and interoperability patterns such as LangGraph, LangChain, Microsoft Agent Framework, Semantic Kernel, PydanticAI, MCP, or A2A.
MLOps, LLMOps, or AgentOps practices covering evaluation, experimentation, deployment, observability, governance, and production operations.
Building and scaling AI or analytical products in a complex enterprise with multiple business domains, sensitive data, and diverse users.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills:

Analytical Thinking, Analytics, Big Data, Business Analytics, Computer Programming, Data Analysis, Data Mining, Data Science, Machine Learning (ML), Statistics, Structured Query Language (SQL)

Pay Range:

United States: 143,400 - 169,300 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

15 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

Job Posting End Date:

November 6, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

About employer

More about this job

Skills

Machine learning
Microsoft Power BI
Microsoft Azure
Workflow
Python
Test automation
CI/CD
Process improvement
Leadership
Computer science
Shipping Solutions
SQL
Cost management
LangChain
Analytical skills
Google Analytics
Computer programming
Data analysis
Data mining
ML
Statistics

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