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.

Role Description Beyond SOF is transforming U.S. Navy ships into autonomous combat data centers—sovereign, resilient edge AI compute that keeps fighting when satellites, shore datacenters, and comms are gone. We need a principal-level Energy Systems Engineer who will own the entire power density roadmap for our floating (naval) and airborne AI systems. This is not incremental work. This is the make-or-break technology that determines whether our sovereign AI compute can run at full MW-scale performance under extreme conditions. What You Will Own - Architect and lead end-to-end high-power-density power delivery systems (grid-side and load-side) for 100 kW to multi-MW AI compute platforms in marine and airborne environments. - Design modern solid-state power conversion architectures using latest SiC/GaN components, advanced transformers, rectifiers, and high-voltage medium-voltage distribution that meet or exceed MIL-STD-1399, MIL-STD-461, National Electrical Code, and all relevant high-power engineering standards. - Drive extreme power density and energy storage solutions—ORv3-level packaging, next-gen battery/inverter integration, and custom hyperscale-inspired power delivery networks optimized for weight, thermal, and survivability. - Be the principal technical authority on power systems across floating and airborne platforms—owning requirements, architecture, simulation, validation, and integration from concept through deployment. - Leverage advanced simulation tools (Altair or equivalent) to model, optimize, and de-risk high-power designs under real-world naval/airborne conditions. - Collaborate directly with AI hardware, mechanical, thermal, and mission teams to deliver breakthrough energy density without compromising reliability or safety. Qualifications - Deep expertise in high-power (100 kW–MW), medium- and high-voltage power supply design using modern solid-state technologies. - Hands-on experience with MIL-STD-1399, MIL-STD-461, NEC, and related shipboard/aerospace power standards. - Proven track record delivering production or flight-qualified power systems in defense, aerospace, or high-performance energy storage environments. - Proficiency with industry-leading simulation tools (Altair preferred). - MS EE (or equivalent) strongly preferred; Professional Engineer (PE) license a significant plus. Requirements - Former power systems engineers (i.e. JPL, Philly, Charleston) who understand extreme-environment, high-reliability design. - Grid-side power experts from L3Harris, Raytheon, or similar primes who are creative problem-solvers, not “Mr. No.” - Load-side / energy storage leaders from Tesla Energy (Powerwall), hyperscaler custom hardware teams, or top energy storage startups with deep knowledge of latest power density techniques and ORv3-style packaging. - Practical PhDs from programs such as Virginia Tech or Florida State who have real hardware in the field, not just papers. Desired but not required - Hands-on experience designing, integrating, or upgrading high-power-density electrical power systems for airborne platforms such as the C-130J Super Hercules (or equivalent military aircraft) with supplemental/additional onboard power generation of 25 kW or greater. - Deep familiarity with MIL-STD-704 (Aircraft Electric Power Characteristics), including power quality requirements for AC and DC systems. - Experience qualifying hardware to RTCA/DO-160 along with related aerospace environmental and power testing standards. - Practical knowledge of aircraft power architectures, including generator systems, transformer rectifier units (TRUs), power distribution buses, load analysis, and high-density power conversion optimized for weight, altitude, vibration, and thermal extremes in flight-qualified environments. Critical intangibles - You thrive in ambiguous, high-stakes, fast-moving environments. - You are excited by the mission: delivering AI superiority when everything else has failed. - You combine first-principles engineering excellence with relentless practicality and creativity. Benefits - Compensation: $230,000+ base with significant equity in a well-funded defense-tech company executing at speed. - Location: Fully remote (US preferred) with occasional travel to partner sites and test facilities. - Impact: Your work will be deployed on U.S. Navy platforms—and soon airborne platforms. - Team: Elite, mission-driven engineers who move at Beyond SOF speed. No layers, no politics. - Resources: Whatever you need—simulation tools, test hardware, fabrication partners—to deliver at the highest level.