• Prospect new clients (inbound and outbound); • Qualify leads and identify business opportunities; • Conduct sales meetings (online and/or in-person); • Present and demonstrate the software (demos); • Prepare commercial proposals and negotiate terms; • Manage the sales pipeline and update the CRM; • Collaborate with marketing, pre-sales and post-sales teams; • Track performance metrics (pipeline, conversion rate, average deal size); • Maintain customer relationships and support upsell and cross-sell strategies;

Requisition Number: 2355238 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 - 14+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ 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 background in healthcare (AI) - Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases - 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.

• Build Apheris’ AI-first internal data foundation • Create a unified data layer across: Meeting transcripts, Email and Slack communication, CRM and account context, Confluence, Product documentation, Selected external signals • Design pragmatic data pipelines, schemas, and retrieval systems optimized for LLM access • Ensure information is structured, queryable, and reliable for downstream workflows • Build agentic workflows and internal AI systems • Design and deploy agentic workflows and LLM interfaces used daily by teams • Deliver concrete, high-impact use cases such as: Pre-meeting briefings with account context and recommended actions, Automated debriefs and follow-ups, Extraction of customer feedback into structured product insights, Cross-functional visibility into discussions and decisions • Implement fail-safes, rollback mechanisms, and continuous testing to harden systems against errors and unsafe behavior

Role Description We are looking for a highly analytical and computationally strong professional with a solid research background in mathematics or quantitative fields. In this role, you will design advanced benchmark tasks for multi-agent AI systems, focusing on complex mathematical reasoning, algorithmic problem-solving, and verifiable computational outputs. You will contribute by crafting challenging problems, building validation systems, and structuring tasks that require decomposition into coordinated sub-solutions. - Commitments Required: 8 hours per day with an overlap of 4 hours with PST. - Employment type: Contractor assignment (no medical/paid leave) - Duration of contract: 4 weeks+ - Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Turkey, Vietnam - Interview: take home assessment (60min) + short interview Responsibilities - Design and build multi-agent benchmark tasks requiring multi-step mathematical reasoning and algorithmic problem-solving. - Create complex, decomposable problems across domains such as: - Competition mathematics - Numerical analysis - Combinatorial optimization - Statistical inference - Develop verification scripts to validate: - Numerical outputs (with tolerance thresholds) - Proof correctness and logical steps - Algorithmic outputs and constraints - Write clear, structured problem statements with precise notation and defined outputs. - Design task decomposition strategies for parallel or multi-agent execution. - Implement computational solutions and validation pipelines using Python. - Work with containerized environments (Docker) for reproducibility and evaluation. Qualifications - 5+ years in mathematics, quantitative research, or computational science — competition math, university-level mathematics, or quantitative research background. - Python programming — NumPy, SciPy, or symbolic computation (SymPy). - Experience writing mathematical proofs or formal derivations. - Ability to create problems with precise, verifiable answers — not subjective or open-ended. - Experience with AI coding benchmarks (SWE-bench, Terminal-bench). - Comfortable with Docker — writing Dockerfiles, building images, and debugging container issues. - Understanding of numerical methods — floating point tolerance, convergence criteria, error bounds. Nice to Have - Experience creating competition math problems (AMC, AIME, Putnam, IMO). - Background in theoretical computer science or advanced mathematics research. - Exposure to automated theorem proving or formal verification. - Familiarity with AI reasoning benchmarks (GSM8K, MATH, AIME, GPQA, ARC-AGI). - Experience in large-scale numerical or scientific computing.