Solutions Engineer Remote Jobs in Louisiana (US)
This page tracks remote solutions engineer openings that are location-eligible for Louisiana.
This page tracks remote solutions engineer openings that are location-eligible for Louisiana.
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• 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
Empowering freshers to begin their careers with confidence | Built for freshers (0–3 yrs)
• Design scalable backend architecture and microservices • Develop secure RESTful and GraphQL APIs • Build API gateways and middleware for integrations • Monitor application performance and optimize backend services • Collaborate with mobile developers and QA teams
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
Solutions to Fuel Your Business Success
• 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.
Nebius is a European AI infrastructure company based in Amsterdam, North Holland, the Netherlands, specializing in full-stack AI solutions. The company offers l
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.
• Assist with Modern Platforms EUC Strategy • Meet with clients to develop statements of work, BOMs, or presentations • Attend customer meetings and present to staff from Helpdesk to C-Level • Collect business and technical requirements • Drive whiteboard conversations and deliver technical presentations • Support proof-of-concept efforts and create Bill of Materials (BOMs) • Create and deliver proposals • Provide daily work direction to the solutions architect vertical • Serve as primary escalation path for solutions architects and clients • Provide regular status updates to engineering managers
AECOM is a global Fortune 500 multinational engineering company that provides consulting, design, management, and construction services to clients in a broad ra
• Develop advanced Autodesk Civil 3D models (surfaces, corridors, grading) and complete civil/site design for roads, drainage, land development, utilities, and stabilization/restoration projects. • Prepare earthwork calculations, surface models, and QTOs; build accurate existing-condition surfaces using LiDAR, DEMs, survey data, and breaklines. • Manage coordinate systems, data transformations, and lifecycle data management for survey and client datasets. • Participate in client meetings, work independently with minimal direction, and coordinate model/data exchange with internal teams and external consultants. • Create and manage 3D federated models using Autodesk and Bentley tools (Civil 3D, Navisworks, InfraWorks, Bentley iTwin, MicroStation/OpenRoads); perform clash detection and ensure LOD/COBie compliance. • Develop, update, and enforce BIM/CAD standards; conduct QA/QC reviews; and provide training, mentoring, and workflow guidance across Autodesk and Bentley design platforms. • Produce visual renderings and sequencing using Autodesk InfraWorks, Navisworks, Twinmotion, or similar visualization tools. • Perform complex design tasks requiring strong technical judgment, and support field verification or survey activities as needed. • Prepare labor estimates, scopes of work, technical documentation, and proposal materials. • Deliver client consulting, workflow analysis, and adoption support for Autodesk Construction Cloud (ACC), Bentley iTwin, and related digital delivery platforms. • Lead digital integrations and data-flow mapping across Autodesk and Bentley ecosystems, support sales teams with technical discovery and solution development. • Create training materials, best-practice guides, and serve as a liaison between clients and internal product teams to relay feature needs and feedback.
• Lead the design of Unifier and other PMIS solutions • Work directly with clients to gather requirements, make recommendations, take detailed notes, and convey those to other members of the project team • Create strategy documents, such as integration strategy, PMIS strategy, training strategy, etc • Create detailed design documentation, and artifacts • Work with developers and development leads to manage Unifier/PMIS development • Be able to create proof of concepts to demonstrate key functionality • Quality assurance on solutions developed by digital teams • Execute UAT process and obtain final sign off from clients • Assist with the development of integration and migration plans • Escalate any issues promptly to project leadership • Demo solutions to clients • Ability to manage shifting priorities and adapt quickly • Support sales process as needed
• Own technical discovery and demos. Run discovery to understand each prospect's billing/payment/ERP stack, then deliver tailored, credible demos that map Numeral's value to their architecture and prove it works in their environment. • Architect the integration plan. Translate customer data architecture into a clear Numeral integration plan — system diagrams, data-flow mapping, effort estimates, and success criteria — across pre-built integrations, APIs, and manual workflows. • Own technical scoping and the handoff to onboarding. Build and quality-gate Technical Mutual Action Plans (TMAPs) and serve as the technical sign-off for complex deals (Stripe, custom API, NetSuite, and other non-Shopify tax engine implementations) before they're committed. • Win the technical evaluation. Handle technical objections live, drive RFPs and security reviews, and run light proofs-of-concept and pilots that move deals forward. • Be the voice of the customer. Gather technical requirements and friction points from the field and partner with Product and Engineering to influence the roadmap, prioritize integrations, and unblock deals. • Enable the broader GTM team. Deliver training to AEs and SDRs on nexus, integrations, and new product capabilities; run office hours; and reduce the need for Product/R&D to join customer calls. • Build scalable assets. Create and maintain demo environments, customer-facing documentation, integration guides, and repeatable SOPs that make the whole team more effective.
Nurturing our world and humankind by advancing care for animals
Role Description Leads the design and evolution of the overarching technical architecture for the Dairy Predictive Solutions platform, ensuring seamless integration across the front-end customer experience, data infrastructure, R&D algorithmic development, and enterprise systems. - Serves as the primary technical visionary responsible for defining how phenotypic data ingestion pipelines, predictive algorithm frameworks, and customer-facing applications connect and scale. - Orchestrates architectural decisions across cross-functional teams including internal business leaders, data scientists, software engineers, product designers, and external stakeholders. - Must work with business stakeholders to review and refine requirements, including the development of prototypes and architectural proofs of concept. - Holds primary accountability for ensuring the platform architecture supports compliance with established protocols and data governance standards. - Leverages expertise in dairy production software systems and modern cloud architecture to inform the architecture of dairy data ecosystems. - The successful candidate is a systems thinker who can balance strategic, long-term architectural vision with near-term delivery priorities. Qualifications - Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, or related field; Master's degree preferred. - 7+ years of experience in data architecture, software architecture, or systems engineering roles. - 3+ years of experience working with advanced analytics, predictive models, or data science teams in a product delivery context. - 5+ years of experience with cloud-based data platforms (e.g., Databricks, AWS, Azure, GCP). - Experience in dairy production, agriculture technology, or related life sciences industries is strongly preferred. - Proven ability to define and communicate architectural vision to both technical and non-technical audiences. - Strong communication and stakeholder management skills. Requirements - Deep expertise in cloud architecture and services (AWS, Azure, or GCP) required. - Strong experience with data engineering tools and platforms including Databricks, Spark, or equivalent. - 5+ years of experience with relational SQL databases, data modeling, and query optimization. - Experience with API design, microservices architecture, and system integration patterns. - Proficiency in Python and/or other programming/scripting languages. - Experience with AI-supported development. - Experience with CI/CD pipelines, infrastructure-as-code, and DevOps practices preferred. - Experience with dairy or livestock software platforms including DC305, Bovisync, PCDart, or DHIPlus preferred. - Familiarity with front-end technologies and user experience architecture is a plus. - Experience with machine learning deployment pipelines (MLOps) preferred. Benefits - Healthcare and insurance benefits beginning on day one. - 401K plan with a match and profit-sharing contribution from Zoetis. - 4 weeks of vacation.
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JavaScript, Python, Cloud, AWS, ETL, Linux