396 matching jobs for “Software Enabling and Optimization Engineer”

How results work

Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Intel

Test Module Engineer

Kulim, Kedah, Malaysia

Full time
Regular

The Role and Impact As a Module Engineer, you will be at the forefront of driving the mass production of advanced …

Added Nov 3, 2026

Save job

Vertex Pharmaceuticals

Senior Principal AI Engineer

Boston, Massachusetts, United States

Full time
Regular

Pay posted by employer$188,000–$282,000

Vertex is seeking a Senior Principal AI Engineer to design, build, and optimize the shared platform capabilities that power AI-enabled products and …

Added Oct 18, 2026

Save job

Marvell Technology

… the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can …

Added Nov 3, 2026

Save job

Marvell Technology

Senior Staff Engineer, ATE Test Development Engineer

Santa Clara, California, United States

Full time
Regular

Added Nov 3, 2026

Save job

Amgen

Sr Machine Learning Engineer

India - Hyderabad

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We …

Added Oct 29, 2026

Save job

Amgen

Sr Machine Learning Engineer

India - Hyderabad

Full time
Regular

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We …

Added Oct 15, 2026

Save job

Marvell Technology

Principle DFT Engineer

Bengaluru, Karnataka, India

Full time
Regular

Added Nov 3, 2026

Save job

Kyndryl Holdings

Azure Platform Engineer

Bengaluru, Karnataka, India +1 location

Hybrid

Your Role We are looking for an experienced Azure DevOps & Cloud Data Platform Engineer to join our growing Data & Analytics Platform team. In this role, you will be responsible for designing, …

Added Nov 3, 2026

Save job

IQVIA Holdings

Senior Generative AI Engineer

Madrid, Spain

Platform Development: Design and architect the Orion GenAI Platform to support scalable and efficient GenAI product deployment. Accelerate …

Added Oct 15, 2026

Save job

Kyndryl Holdings

Forward Deployed Engineer

ITMILCOP

Hybrid

Your role The Forward Deployed Engineer (FDE) is a delivery-first role for early career engineers who want to work where AI systems meet real …

Added Oct 27, 2026

Save job

Intel

AI Frameworks Engineer

Gdańsk, Pomerania, Poland

Full time
Regular

The Role and Impact Intel is building the open software stack that makes large language models run fast on Intel GPUs. …

Added Oct 27, 2026

Save job

Marvell Technology

Hardware Design Engineer

Santa Clara, California, United States

Regular

Added Nov 3, 2026

Save job

Thermo Fisher Scientific

Senior DevOps Engineer – AI Enablement

Bengaluru, Karnataka, India

… bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. This position is available in the DAIV System Team, a centralized DevOps team supporting multiple …

Added Oct 16, 2026

Save job

Kyndryl Holdings

Modernization Engineer/FDE

Brno (KCZ51652) Vlnena

Hybrid

Your Role · Work closely with strategic customers as a Forward Deployed Engineer to solve complex technical challenges and deliver measurable business outcomes. · Combine engineering, …

Added Oct 27, 2026

Save job

Nvidia

Field Application Engineer - EMEA

Finland, Remote +2 locations

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great …

Added Oct 28, 2026

Save job

Intel

AI Frameworks Engineer

Gdańsk, Pomerania, Poland

Full time
Regular

The Role and Impact Intel is building the open software stack that makes large language models run fast on Intel GPUs. …

Added Oct 27, 2026

Save job

Thermo Fisher Scientific

Sr Staff R&D Optical Engineer

Brno, South Moravian, Czechia

… revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Our team of more than 100,000 colleagues delivers an unrivaled combination of innovative …

Added Oct 16, 2026

Save job

Amgen

Senior AI Engineer

Portugal - Lisbon

Full time
Regular

… the country (category 201-500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture. We are a team of over 500 talented individuals, spanning more than 30 functions and …

Added Oct 15, 2026

Save job

Visa

Staff Data Engineer-1

Singapore, Singapore

Visa’s Technology Organization is a community of problem solvers and innovators, reshaping the future of commerce. We operate one of the world’s most advanced payment …

Added Oct 27, 2026

Save job

Coca-Cola

Senior Manager, AI Engineer

Atlanta, Georgia, United States +4 locations

… Overview As part of Product & Engineering team within the Global Digital Network, the Senior Manager, AI Engineer will help advance Coca-Cola’s transformation into a digital-first, data-driven enterprise. We are seeking …

Added Oct 27, 2026

Save job

Coca-Cola

Senior Manager, AI Engineer

Atlanta, Georgia, United States +4 more

View job

Save job

Skills · employer excerpt

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.

About this opportunity

Original employer description

Job Description Summary:

Role Overview

As part of Product & Engineering team within the Global Digital Network, the Senior Manager, AI Engineer will help advance Coca-Cola’s transformation into a digital-first, data-driven enterprise. We are seeking an AI Engineer to design, build, and deploy production-grade AI solutions across The Coca-Cola Company’s digital product portfolio. This is a hands-on engineering role at the frontier of applied AI, responsible for taking business requirements or user needs from prototype to production, developing domain-specific AI agents, and integrating cutting-edge GenAI and agentic frameworks into enterprise platforms.

The ideal candidate is a skilled, curious AI practitioner who writes high-quality code, thrives in fast-moving agile squads, and has deep hands-on experience building and deploying AI systems or products in cloud environments. You are as comfortable discussing model architecture with a data scientist as you are reviewing a CI/CD pipeline with a DevOps engineer, and you bring the engineering discipline to turn promising AI prototypes into reliable, production-ready products.

What You’ll Do for Us

Develop and deploy AI agents and GenAI solutions: prototype, iterate, and take to production domain-specific AI agents capable of information gathering, insight generation, and intelligent action. Design and implement AI agents using open interoperability standards such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) to securely connect agents with enterprise data, tools, and external systems while enabling coordinated multi-agent workflows across business domains

Write and optimize production-grade AI code: produce high-quality, well-tested, maintainable code in Python and other relevant languages. Optimize AI models and inference pipelines for performance, reliability, and cost efficiency at scale. Ensure all code adheres to The Coca-Cola Company’s engineering standards for quality, security, and observability

Deploy and operate AI solutions on cloud infrastructure: deploy, monitor, and optimize AI agents and models on Azure cloud infrastructure. Build and maintain MLOps pipelines covering model training, versioning, inference, and CI/CD. Ensure high availability, scalability, and end-to-end observability for AI products in production

Integrate AI capabilities into enterprise platforms: collaborate with Application Engineering and Data Engineering squads to embed AI outputs into product workflows, APIs, and user-facing features; work cross-functionally to translate data science prototypes into robust, production-ready applications; and ensure seamless integration of AI components with existing enterprise data platforms and business systems

Implement AI observability and telemetry: implement runtime observability for AI agents and LLM applications, including tracing, reasoning paths, token consumption, latency, cost, output quality, and guardrail violations to ensure production reliability

Build agent evaluation frameworks: design agent evaluation pipelines, develop evaluation harnesses, benchmark datasets, regression tests, and automated quality scoring to continuously assess agent accuracy, safety, and business performance

Engineer enterprise AI context: design retrieval pipelines using enterprise semantic layers, knowledge graphs, vector search, and business ontologies to ground AI agents in trusted enterprise context and improve response quality

Implement AI safety and runtime controls: configure runtime AI controls including policy enforcement, human-in-the-loop workflows, autonomy thresholds, prompt injection defenses, and secure tool execution for enterprise AI agents

Design multi-agent systems: design and orchestrate multi-agent systems that coordinate planning, reasoning, tool execution, and human collaboration across complex enterprise workflows

Operate AI applications in production: manage prompt versioning, evaluation, experimentation, routing strategies, cost optimization, and the production lifecycle for LLM- and agent-powered applications using modern LLMOps and AgentOps practices

Support digital twin capabilities: develop AI capabilities that support enterprise digital twins by integrating operational, commercial, and enterprise data into intelligent simulations, predictions, and decision-support workflows

Collaborate effectively within agile engineering teams: work closely with Technical Leads, software engineers, data engineers, and fellow AI Engineers to design, build, test, and deliver AI capabilities. Contribute to sprint planning, backlog refinement, technical design discussions, code reviews, and collaborative problem-solving to ensure high-quality engineering outcomes

Maintain technical currency and drive continuous improvement: stay current with advances in AI, machine learning, and Generative AI and integrate relevant developments into existing and new solutions; conduct rigorous testing and validation to ensure reliability, accuracy, and explainability of AI agents and outputs; and contribute to internal knowledge sharing, code reviews, and engineering best practices

Requirements & Qualifications

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 experience in AI or ML engineering with a demonstrated track record of taking AI models and solutions from development to production

Strong proficiency in Python with working knowledge of additional languages such as Java or C++

Experience building and deploying LLM-powered and agentic AI applications in production using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, Model Context Protocol (MCP), Agent-to-Agent (A2A), or similar

Experience deploying and operating AI and ML solutions on cloud infrastructure with Azure strongly preferred and AWS or GCP also acceptable

Experience with vector databases, embeddings, Retrieval-Augmented Generation (RAG), GraphRAG, semantic search, or context engineering

Experience developing RESTful APIs or integrating AI capabilities into enterprise applications

Experience with MLOps, LLMOps, or AgentOps practices including model and prompt versioning, evaluation, experimentation, routing strategies, observability, cost optimization, and production lifecycle management

Strong software engineering fundamentals including API design, testing, version control, CI/CD, containerization using Docker and Kubernetes, and model deployment and monitoring for AI systems

Experience working in Agile delivery environments including sprint execution, code review practices, and cross-squad collaboration

Experience implementing responsible AI practices including runtime guardrails, AI safety controls, model explainability, data privacy, and secure agent execution

Experience implementing AI observability and telemetry including tracing, reasoning diagnostics, token consumption monitoring, latency, cost, output quality, and runtime performance for production AI applications

Strong analytical and problem-solving skills with the ability to work with Technical Leads and Product teams to translate business requirements into well-scoped AI solutions

Excellent communication skills with the ability to explain AI products and trade-offs clearly to both technical and non-technical stakeholders

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:

Budget Management, Communication, Data Analytics, DOT Regulations, Group Problem Solving, JDA (Inactive), Microsoft Office, Microsoft Power Business Intelligence (PBI), Oracle Transportation Management, SAP Manufacturing Execution (SAP ME), Supply Chain, Tableau (Software), Transportation Logistics, Transportation Management Systems (TMS), Transportation Planning

Pay Range:

United States: 152,000 - 178,300 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:

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:

October 30, 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.

Why this result? · Employer labels

Keywords also found in description

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.