Solution Engineer (AI/ML + Software + Data Engineering)

Position Title: Solution Engineer (AI/ML + Software + Data Engineering) 
Reports To: Vice President, Business Development (Innodata Federal) 
Job Family: Engineering & Technical Solutions / Proposal Support 
FLSA Status: Exempt 
Location: Remote (United States) with travel as required 
Clearance Requirement: Active TS/SCI required; CI Polygraph preferred 

Who we are:

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 the AI technology solutions provider-of-choice to 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 clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 3,000 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.

About the Role 

The Solution Engineer serves as the technical anchor for Innodata Federal’s Business Development team. This role develops solution architectures, authors technical volumes, delivers prototypes, and provides basis-of-estimate (BOE) inputs for pricing and resourcing. The Solution Engineer ensures Innodata’s technical credibility in federal pursuits, with applied expertise in AI/ML pipelines, data assurance, synthetic data, and multimodal integration. This position requires mission experience with the Missile Defense Agency (MDA), ephemeris data engineering, mobile location data workflows, and training dataset quality metrics aligned with Innodata’s Assured Data Layer strategy. Priority pursuits include MDA SHIELD, DARPA SABER, and SDA TAP Lab. 

Key Responsibilities 

Technical Solution Development (Approx. 35%) 

• Develop technical narratives, architectures, and solution designs for proposals (DoD, IC, Civilian). 

• Author and co-author technical volumes for BAAs, CSOs, and RFP responses. 

• Ensure solutions comply with IL5/IL6, FedRAMP, and RMF frameworks. 

• Incorporate mission experience supporting MDA SHIELD, DARPA SABER, and SDA TAP Lab into technical approaches. 

Prototype and Demonstration Engineering (Approx. 30%) 

• Build and deliver proofs-of-concept (MVPs) aligned with priority pursuits (SHIELD, SABER, SDA TAP Lab). 

• Design and integrate AI/ML workflows with geospatial, cyber, and mobile data engineering pipelines. 

• Develop, validate, and maintain ephemeris data engineering solutions for space domain awareness and missile defense missions. 

• Support technical demonstrations, customer briefings, and white papers. 

Training Dataset Quality & Assurance (Approx. 20%) 

• Establish measurable dataset quality metrics (accuracy, precision/recall, confidence scoring). 

• Design and oversee production of “gold standard” training datasets. 

• Build dataset QA/linter pipelines to enforce ontology alignment, annotation consistency, and quality benchmarks. 

• Collaborate with SMEs to ensure dataset assurance aligns with Innodata’s Assured Data Layer framework. 

Basis of Estimate (BOE) and Cost Support (Approx. 10%)