Role Description Symmetrio is recruiting for our client, an innovative healthcare technology organization dedicated to improving patient outcomes through advanced clinical data and technology solutions. We are seeking an experienced Integration Engineer Lead to oversee the design, development, and support of complex healthcare data integrations while providing technical leadership to a team of integration professionals. This is a highly visible role that combines hands-on engineering responsibilities with team leadership, driving interoperability initiatives across healthcare systems and ensuring reliable, secure, and scalable data exchange. The ideal candidate will have deep expertise in healthcare integration technologies, interoperability standards, and interface engine development, along with a passion for mentoring teams and improving operational excellence. - Lead the analysis, design, development, deployment, and support of healthcare data integrations with EMRs and third-party systems - Serve as the technical lead and escalation point for interface architecture, production issues, and integration strategy - Design, build, and maintain integration workflows using healthcare interoperability standards and integration platforms - Develop and support data exchange solutions utilizing HL7, FHIR, RESTful APIs, JSON, XML, and related technologies - Translate business and clinical requirements into scalable, reliable integration solutions - Perform ETL activities, data transformations, and complex healthcare data mappings - Troubleshoot and resolve interface issues to maintain system performance, stability, and data integrity - Monitor integration environments and proactively identify opportunities for optimization and improvement - Ensure compliance with healthcare security, privacy, and regulatory requirements - Collaborate with Product, Development, QA, DevOps, Support, and external partners to deliver integration initiatives - Provide technical mentorship, code reviews, and guidance to integration engineering team members - Support Agile development practices, project planning, and prioritization efforts - Participate in implementation, testing, validation, deployment, and post-production support activities - Maintain comprehensive technical documentation for integrations, workflows, troubleshooting, and operational processes Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field - 5+ years of experience developing and supporting healthcare data integrations or interface solutions - Previous experience leading, mentoring, or providing technical guidance to engineering teams - Strong knowledge of HL7 v2 messaging standards, including ADT, ORM, ORU, and SIU message types - Experience working with FHIR standards and healthcare interoperability frameworks - Hands-on experience with integration engines such as Mirth Connect, Iguana, or similar platforms - Strong proficiency with RESTful APIs and healthcare data exchange methodologies - Experience developing scripts and integrations using JavaScript or similar scripting languages - Working knowledge of Linux/UNIX and Windows environments - Familiarity with EMR systems, healthcare data structures, and clinical workflows - Understanding of HIPAA requirements and healthcare data security best practices - Knowledge of cloud-based integration concepts and modern interoperability architectures - Excellent analytical, troubleshooting, and problem-solving skills - Strong communication and collaboration abilities - Ability to manage multiple priorities and perform effectively in a fast-paced environment Preferred Qualifications - Experience supporting integrations within oncology, laboratory, or other clinical specialties - Experience designing and optimizing large-scale healthcare data workflows - Technical leadership experience managing integration projects from planning through deployment - Experience improving monitoring, scalability, and performance of enterprise integration environments Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k) - Disability Insurance - Paid Time Off (Vacation, Sick & Public Holidays) - Career Growth and Professional Development Opportunities - Collaborative and Mission-Driven Work Environment

• Solution Design & Architecture: Lead and assist with the development and design of end-to-end processes for BC solutions, ensuring alignment with business objectives and technical standards. • Implementation & Deployment: Provide leadership and guidance to a team of functional consultants on the implementation of BC solutions, including configuration, customization, and integration with other enterprise systems. • Technology Integrations: Oversee the integration of BC systems with other enterprise applications. • Project Management: Collaborate with Project Managers to manage project timelines, resources, and budgets, ensuring successful delivery of solutions within scope. • Stakeholder Collaboration: Engage with business leaders, IT teams, and external vendors to ensure solutions meet business needs and technical requirements. • Continuous Improvement: Stay updated on industry trends and emerging technologies to continually enhance solutions.

Role Description This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning (LoRA, full FT, RFT) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing, and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We're looking for a Principal ML Solutions Architect to act as the most senior technical authority for customers leveraging Token Factory's serverless inference and fine-tuning platforms. Your responsibilities will include: - Own the most complex, highest-stakes customer engagements from architecture through production across multiple modalities, driving measurable business value. - Optimize LLM inference at the framework and hardware level and codify the resulting best practices into reusable playbooks for the team. - Lead supervised and reinforcement fine-tuning efforts to maximize model quality. - Design and implement production-ready LLM solutions using Token Factory's inference services. - Provide deep technical expertise in prompt engineering, RAG architectures, model selection, and cost/performance trade-offs at scale. - Partner closely with product, engineering, and research to surface customer needs, prototype platform features, and directly influence the roadmap. - Guide customers from PoC to production with a focus on performance, reliability, and cost efficiency — and define the standards by which the team does so. - Mentor Senior and mid-level Solutions Architects; raise the technical bar of the team through review, enablement, and knowledge sharing. - Represent Token Factory externally through talks, blog posts, and conferences. Qualifications - 8+ years of experience in ML/AI systems, with at least 4 years focused on LLMs and generative AI. - Demonstrated technical leadership: owning ambiguous, high-impact problems end to end and influencing decisions across teams and customers. - Expert knowledge of the LLM ecosystem: model architectures, fine-tuning approaches, and inference internals. - Deep, hands-on command of inference optimization: quantization, KV-cache management, batching, routing, etc. - Hands-on experience with running LLMs in production at scale: deploying, operating, and debugging inference workloads down to the framework level. - LLM fine-tuning, including SFT/LoRA and data preparation/curation; experience with RL-based fine-tuning. - LLM evaluation: building task-specific benchmarks and offline/online eval pipelines, including LLM-as-a-judge setups. - Inference frameworks and libraries (vLLM, SGLang, TensorRT-LLM), including the ability to read, modify, and contribute to their internals. - Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models. - Strong Python programming skills. - Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives. Requirements - Contributions or maintainership in major OSS inference/ML projects (vLLM, SGLang, TensorRT-LLM). - Published research, conference talks, or widely-read technical writing in the LLM/serving space. - Deep work with multimodal AI models (vision-language, speech). - Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code. - Experience building or owning internal tooling/automation for ML workflows at scale. Benefits - Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) Plan: Up to 4% company match with immediate vesting. - Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote Work Reimbursement: Up to $85/month for mobile and internet. - Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. - Competitive compensation and benefits packages. - Career growth and learning opportunities. - Flexibility and ownership. - Collaborative and innovative culture. - Opportunity to work on impactful AI projects. - International environment and talented teams.

Title: Senior Associate - Workload Automation Engineer Location: United States Requisition ID: 93700 Department: Tech Data AI Ventures Job Function: Tech Data AI Ventures Job Description: Role Summary Serve as the engineering owner for New York Life's enterprise workload automation platform, ensuring the reliability, scalability, and resilience of mission-critical scheduling and batch processing services across on-premises and cloud environments. In this role, you will operate and enhance enterprise scheduling platforms, calendars, and workload orchestration services while designing resilient restart and recovery patterns that enable critical business processes to run predictably and consistently. You will help establish standards for job design, logging, monitoring, and audit readiness, supporting a secure, compliant, and automation-first operating model. Using platform engineering and Site Reliability Engineering (SRE) practices, you will automate operational processes, define and monitor service-level objectives (SLOs), improve observability, and lead incident response efforts to minimize downtime and improve system resilience. Your work will help ensure critical workload automation services consistently meet performance expectations and business service level agreements. What You'll Do Platform Engineering & Reliability - Operate and maintain enterprise scheduling controllers and agents across on-premises and cloud environments. - Manage calendars, SLAs, alerting, and escalation processes. - Design resilient restart, recovery, and rerun frameworks for critical workloads. - Define platform standards, governance practices, SLIs, and SLOs. - Lead platform upgrades, configuration management, and lifecycle maintenance. Automation & Operational Excellence - Implement job-as-code and configuration-as-code practices using Git and CI/CD pipelines. - Develop automation solutions using PowerShell, Python, APIs, SQL, Terraform, and related technologies. - Improve workload orchestration, dependency management, and operational consistency. - Build monitoring, dashboards, alerts, and health checks to improve visibility and reliability. - Lead incident triage, root cause analysis, and post-incident improvements. Observability & Operations - Integrate workload automation platforms with monitoring and observability solutions. - Build dashboards, metrics, and alerts to improve visibility and operational efficiency. - Lead incident triage, root cause analysis, recovery efforts, and post-incident improvements. - Optimize workload performance, resource utilization, and platform reliability. Partnership & Governance - Partner with application, cloud, database, security, and operations teams to ensure reliable workload execution. - Provide guidance on workload design, scheduling strategies, dependency management, and error handling. - Support audit, compliance, and operational governance requirements. - Document standards, playbooks, and best practices while mentoring team members. What You'll Bring - 5–8+ years of experience in workload automation, platform engineering, Site Reliability Engineering (SRE), production operations, or related environments. - Hands-on experience with Stonebranch preferred, or another enterprise workload automation platform such as BMC Control-M, AutoSys, ESP, CA-7, IBM Workload Scheduler (TWS), Redwood RunMyJobs, ActiveBatch, JAMS, Tidal, Automic (UC4), or OpCon. - Experience supporting enterprise batch processing, dependency modeling, workload orchestration, SLA management, and recovery processes. - Strong scripting and automation skills using PowerShell, Python, Bash, SQL, REST APIs, JSON, and YAML. - Experience with Git, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation, AWS CDK, or similar) and automation (Ansible, JFrog Artifactory, etc). - Strong AWS experience, including EC2, S3, Lambda, RDS/DynamoDB, VPC networking, observability, and high-availability architectures. - Proven design and implementation of restart/rerun patterns, dependency modeling, and idempotent batch frameworks. - Excellent coordination skills across incident and change processes, with clear, concise communication to technical and non-technical stakeholders. - Strong troubleshooting, communication, and stakeholder management skills. Nice to Have - Experience in financial services, insurance, healthcare, or other highly regulated industries. - Experience standardizing workload automation platforms and operational governance practices. - Experience integrating workload automation platforms with enterprise monitoring and observability solutions. - AWS, ITIL, CISSP, or related certifications. How Success Will Be Measured - Reduced SLA jeopardy events, breaches, and recovery times (MTTR). - Increased adoption of standardized job templates, recovery patterns, and automated validation checks. - Improved audit readiness through consistent logging, documentation, and evidence collection. - Reduced manual intervention and alert noise while improving workload completion rates and platform reliability. Pay Transparency Salary Range: $90,000-$128,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it. Our Benefits We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.