Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.
Technical Solutions Architect
Location
United States
Posted
3 days ago
Salary
$140K - $160K / year
Seniority
Mid Level
Job Description
Technical Solutions Architect
Innodata Inc
Role Description Innodata partners with leading foundation model labs, hyperscalers, and enterprise AI teams to build the data, evaluation, and post-training systems that make modern LLMs trustworthy and production-ready. As a Technical Solutions Architect for Evals & Fine-Tuning, you are the technical face of Innodata to our most demanding customers. You sit at the intersection of client AI/ML teams, our research scientists and ML engineers, our subject-matter expert workforce, and our platform teams. You translate ambiguous customer goals into concrete, scoped, deliverable engagements. This is a senior individual-contributor role for someone who has done the work: - Built fine-tuning pipelines - Designed eval harnesses - Argued with stakeholders about benchmark validity - Earned credibility with sophisticated ML buyers What You’ll Own: - Lead technical discovery with prospective and existing customers to understand model objectives, gaps, and constraints. - Design end-to-end solutions across the post-training stack: - SFT data curation - Preference data collection for RLHF/DPO - Golden datasets - Custom benchmarks - LLM-as-judge pipelines - Human-in-the-loop evaluation - Red teaming - Multimodal eval (text, image, audio, video, long-context) - Architect engagements that combine Innodata’s platforms with our global SME workforce across 85+ languages and domains. - Author technical proposals, SOWs, solution diagrams, and pricing models in partnership with sales, delivery, and finance. - Run technical workshops, POCs, and pilot designs that de-risk larger programs and prove value quickly. - Serve as the ongoing technical advisor during delivery, partnering with applied research scientists, AI/ML research engineers, language data scientists, and program managers. - Feed customer signal back into Innodata’s R&D and product roadmap. - Stay current on the state of the art in evals and post-training. - Represent Innodata externally at customer reviews, conferences, and in technical content. Qualifications - 7+ years of experience in applied ML, ML engineering, ML research, or technical solutions roles, with at least 2+ years focused specifically on LLM evaluation and/or post-training. - Hands-on experience fine-tuning LLMs and designing the data pipelines that feed them. - Deep familiarity with LLM evaluation methodology. - Strong fluency in Python and the modern LLM toolchain. - Excellent technical communication skills. - A consultative mindset. - Bachelor’s or advanced degree in computer science, machine learning, computational linguistics, or related field — or equivalent demonstrated experience. Requirements - Experience with SFT, RLHF, DPO, or KTO preferred. - Familiarity with public benchmarks and their limitations. - Experience with custom benchmark construction. - Knowledge of inter-annotator agreement and human eval workflow design. Benefits - The expected salary range for this position is $140,000 – $160,000 USD per year, based on experience, skills, and qualifications. Company Description Innodata is a global data engineering company focused on enabling the responsible advancement of artificial intelligence.
Related Guides
Related Categories
Related Job Pages
More Solutions Engineer Jobs
Associate Staff Engineer, Workday HCM Integration Consultant
NagarroNagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.
• Develop, implement, maintain, and support Workday HCM integrations with enterprise and third-party applications • Build and support integrations using EIB, Core Connectors, Benefits Connectors, PECI, Workday Studio, and Document Transformation • Configure and maintain Workday Business Processes and support ongoing functional enhancements • Develop, maintain, and troubleshoot Workday Reports and BIRT reports • Manage onboarding content, questionnaires, templates, and other Workday configuration activities • Configure and support Workday security roles, domains, and user access • Provide functional and technical support for Workday CD and related business processes • Handle day-to-day Workday CD support activities, including issue resolution and operational support • Create, manage, and maintain JIRA tickets for sprint planning, task tracking, and progress reporting • Support ongoing Workday CD activities such as billability mapping, notification emails, NES changes, and other operational processes • Perform background corrections, data fixes, and issue resolution to ensure system accuracy and stability • Collaborate with business stakeholders, implementation partners, and internal IT teams to gather requirements and deliver effective solutions • Manage incidents, service requests, and change requests through ITSM processes while ensuring SLA compliance • Prepare and maintain technical documentation, integration specifications, knowledge articles, and operational runbooks • Stay current with Workday product updates and recommend improvements to enhance system performance and business processes
Senior Staff Engineer, Workday HCM Integration Consultant
NagarroNagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.
• Develop, implement, enhance, and support Workday HCM integrations across enterprise applications • Design, build, and maintain integrations using EIB, Core Connectors, Benefits Connectors, PECI, Workday Studio, and Document Transformation • Gather business requirements and collaborate with stakeholders to deliver scalable Workday integration solutions • Configure and maintain Workday Business Processes • Develop and maintain Workday reports and BIRT reports • Monitor and support Workday integrations to ensure reliability, performance, and data accuracy • Provide production support by troubleshooting integration and functional issues
Associate Principal Engineer, Workday HCM Integration Consultant
NagarroNagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.
• Develop, implement, enhance, and support Workday HCM integrations across enterprise applications. • Design, build, and maintain integrations using EIB, Core Connectors, Benefits Connectors, PECI, Workday Studio, and Document Transformation. • Gather business requirements and collaborate with stakeholders to deliver scalable Workday integration solutions. • Configure and maintain Workday Business Processes to support evolving business needs. • Develop and maintain Workday reports and BIRT reports to support business operations and reporting requirements. • Configure and maintain Workday security roles, domains, and security profiles. • Support Workday HCM modules, including Core HCM, Compensation, Payroll, Recruiting, ATS, Employee Management, and Learning Management. • Manage content uploads such as onboarding documents, questionnaires, and other Workday configuration artifacts. • Provide production support by troubleshooting integration and functional issues, performing root cause analysis, and implementing timely resolutions. • Monitor and support Workday integrations to ensure reliability, performance, and data accuracy. • Work closely with internal IT teams, business users, and third-party vendors to deliver enhancements and resolve issues. • Manage incidents, service requests, and change requests through ITSM processes while meeting defined SLAs. • Prepare technical documentation, integration specifications, knowledge articles, and operational runbooks. • Stay current with Workday releases, new features, and best practices to continuously improve the Workday ecosystem
Senior Project Manager – Software Implementation
project44project44 is on a mission - to make supply chains work
• Own and drive the full project lifecycle for customer implementations, from post-sale handover through Go-Live and Hypercare. • Develop and manage detailed project plans, timelines, milestones, and deliverables, ensuring alignment across internal and customer teams. • Lead project governance, including status tracking, reporting, and stakeholder communication at all levels. • Manage project risks, issues, and dependencies, proactively identifying mitigation strategies and driving resolution. • Own budget and scope management, ensuring projects are delivered within agreed commercial parameters. • Act as the primary point of contact for customers on project delivery, ensuring clear communication, expectation management, and alignment. • Coordinate cross-functional teams, including Solutions Architects, Engineering, Product, and Support, to ensure smooth execution. • Facilitate key project ceremonies, including: • Project kick-off calls • Weekly status meetings • Steering committees (when applicable) • Go-live readiness reviews • Support testing phases (System Testing & UAT) by coordinating timelines, stakeholders, and deliverables. • Drive Go-Live planning and execution, including cutover coordination and post-launch validation. • Oversee Hypercare phase, ensuring a smooth transition to Customer Success and long-term account stability. • Ensure accurate tracking of project progress using internal tools (e.g., Jira, Zendesk, Rocketlane, or equivalent). • Contribute to process improvements, project management standards, and scalable delivery frameworks. • Support pre-sales and discovery activities by providing input on timelines, delivery approach, and implementation feasibility.

