Role Description We are seeking a highly motivated and technically skilled AI Engineer (Contract) to join our team. This is a fully remote position based in Mexico, working within a distributed LATAM-based technical team. The AI Engineer serves as a hands-on, execution-focused engineer responsible for building and operating generative AI systems, supporting the evolution of internal AI assistant capabilities, and contributing to the engineering infrastructure powering AI initiatives across multiple workstreams. Positioned as a critical delivery resource within the AI Strategy and Innovation function, this individual works closely with the Lead AI Engineer & Architect to implement, maintain, and continuously improve AI agents, LLMOps frameworks, and classical ML systems in production. This role also supports broader AI enablement efforts, helping business stakeholders learn to build AI assistants and agents using Microsoft Copilot Studio, bridging technical execution with organizational adoption. Essential Duties and Responsibilities - Build and maintain AI agents in Azure AI Foundry. - Develop new agents from defined specifications and enhance existing agents in production, ensuring quality, reliability, and alignment with business requirements. - Support internal AI assistant capabilities. - Maintain and improve internal AI assistants, including agent integration, prompt iteration, and performance tuning. - Contribute to platform integrations. - Support integrations between AI assistants and adjacent platforms such as Copilot Studio, ensuring seamless interoperability across the AI ecosystem. - Implement the LLMOps framework. - Contribute to evaluation pipelines, prompt versioning, observability tooling, and cost monitoring for generative AI systems. - Operate classical machine learning models in production. - Support scheduled retraining, performance monitoring, and troubleshooting for classification, regression, and time series models. - Build monitoring and observability tooling. - Develop dashboards, alerts, and operational runbooks to ensure ML models and AI agents remain healthy and performant in production. - Collaborate with QA. - Work with QA to ensure models and agents continue to meet established quality standards. Support recurring evaluation cycles as needed. - Write clear technical documentation. - Produce code documentation, README files, operational runbooks, and feature documentation for production AI systems. - Provide first-level technical support. - Troubleshoot non-critical issues raised by stakeholders interacting with AI systems and escalate where appropriate. - Support AI enablement efforts. - Contribute to AI enablement by supporting business stakeholders as they learn to build AI assistants and agents using Microsoft Copilot Studio. Participate in office hours, deep-dive sessions, and hands-on learning. Qualifications - Minimum 4 years of experience as an AI Engineer, ML Engineer, or similar hands-on engineering role. - Experience building or operating LLM-based systems in production, including AI agents, RAG pipelines, prompt engineering, and vector stores. - Familiarity with Azure AI Foundry, LangChain, Semantic Kernel, or similar frameworks preferred. - Strong Python skills with production-grade backend development experience. - Experience with at least one major cloud AI platform (Azure strongly preferred; AWS/GCP acceptable). - Working knowledge of classical ML libraries including scikit-learn, XGBoost, pandas, numpy. - Understanding of MLOps and LLMOps practices including model versioning, CI/CD, monitoring, evaluation frameworks, experiment tracking (MLflow or similar). - Experience deploying and operating AI/ML systems in production. - Strong English communication skills. - Comfortable working independently while collaborating with distributed teams. - Ability to support non-technical stakeholders in enablement/training scenarios. Preferred - Hands-on Microsoft Copilot Studio or Power Platform experience. - Experience supporting AI training or enablement for non-technical teams. - Familiarity with workflow automation / RPA concepts. - Experience in agile delivery environments.

Role Description We at Coforge are hiring an AI Software Engineer (#20891) with the following skill set. - Design, develop, and deploy AI-driven applications leveraging Large Language Models (LLMs), NLP techniques, and speech-based interfaces for scalable enterprise solutions. - Build and optimize AI workloads in production using Claude (Anthropic), prompt engineering techniques, evaluation frameworks, and model optimization strategies. - Develop scalable backend services, APIs, and distributed systems to support AI-enabled applications, voice interfaces, and intelligent automation workflows. - Collaborate with engineering and product teams to implement cloud-native AI solutions, data pipelines, and best practices for performance, reliability, and scalability. Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, Data Science, or equivalent practical experience. - 7+ years of software engineering experience, including hands-on experience building AI-enabled systems. - Strong expertise with Large Language Models (LLMs), Natural Language Processing (NLP), and AI application development. - Hands-on experience using Claude (Anthropic) or similar AI models for enterprise-grade AI solutions. - Strong programming skills in Python (preferred) or equivalent backend programming languages. - Experience designing and deploying AI workloads in production environments. - Hands-on experience with AWS cloud services including Lambda, S3, API Gateway, Bedrock, SageMaker, or similar services. - Experience working with Voice APIs, speech-based interfaces, or conversational AI systems. - Strong understanding of REST APIs, microservices architectures, and distributed systems. - Familiarity with structured/unstructured data pipelines, prompt engineering, model evaluation, and optimization frameworks. Requirements - Experience with AI model monitoring, observability, and production optimization. - Familiarity with scalable cloud-native AI architectures and orchestration patterns. - Exposure to modern MLOps, automation, or AI governance practices. - Experience working in Agile product engineering environments. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

• Lead the development and deployment of Generative AI applications and systems. • Design and optimize solutions using Large Language Models and frameworks like langchain. • Collaborate with stakeholders to identify business needs and translate them into technical solutions. • Create robust Python-based implementations to enhance AI capabilities and scalability. • Stay current with emerging AI technologies to ensure the adoption of best practices. • Mentor team members and foster a culture of continuous learning and improvement. • Monitor performance of deployed solutions and implement enhancements as needed.

Requisition Number: 2355244 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: - Develop and implement AI and machine learning strategies across several healthcare domains - Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives - Develop and maintain solid relationships with stakeholders, customers, and partners internally and externally - Represent Consumer Engineering work and teams across Optum global leadership - Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations - Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable - Create technical specifications and write high-quality, scalable, supportable code; review code of other engineers and mentor them to ensure all quality KPIs are met or exceeded - Demonstrate collaborative skills to work effectively with diverse teams - Serve as a role model by leveraging these techniques to optimize solutioning and product delivery - Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery - Provide leadership and be accountable for the performance of managers and/or senior-level professional staff - Drive impact at the operational, local business unit, or market level - Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: - Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline - 10+ years of experience in Software Engineering, Data Science, or Analytics, with 6+ years in AI/ML engineering or related fields and the last 3+ years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning - Hands-on experience in AI and driving the development of innovative AI and machine learning solutions - Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn - Experience with cloud platforms such as AWS, Azure, and GCP - Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes - Demonstrated experience leading and managing AI/ML teams and projects from ideation to delivery and evaluation - Experience in the following: - Agentic AI - Deep Learning - Model Evaluation Techniques - Natural Language Processing (NLP) - Python and data manipulation libraries like Pandas, Matplotlib, ggplot2 - Machine Learning - Prompt engineering for BOT integration with LLMs - Working with MCP - Application Analytics - Cloud (AWS Services, Machine Learning and AI services) - LLM integrations - Python - Type Script/NodeJs - Security Best Practices - Amazon Lex BOT Development - Deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC lifecycle - Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts to both technical and non-technical audiences - Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism - Proven passion for learning and staying updated with the latest AI/ML trends and research Preferred Qualifications: - PhD in AI / ML, Engineering, Mathematics, Statistics, or a related discipline - Experience working with cross-functional and distributed teams in a global and diverse environment - Experience in mentoring, coaching, and developing AI/ML talent - Experience in establishing and enforcing AI/ML best practices, standards, and ethics - Experience in Realizing Value from AI/ML products as well as production ready product - Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases - Proven background in healthcare (AI) - Proven portfolio of AI/ML publications, patents, or awards At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Optum is a drug-free workplace. © 2026 Optum Global Solutions (Philippines) Inc. All rights reserved.