IntegriChain

AI Engineer

• Join the Engineering team as a Forward Deployed AI Engineer
• Act as a resident AI expert within Individual Departments/Business Units
• Function as engineer, solutions architect, and internal consultant
• Design and build AI-powered application features using LLM APIs
• Create agent loops that can select tools, execute actions, and summarize results
• Develop chat-based analytical experiences connecting user questions to backend tools
• Improve prompt quality and manage context windows
• Use advanced AI coding tools to accelerate development while maintaining code quality
• Embed directly with internal departments to identify where AI can drive efficiency
• Lead the end-to-end implementation of AI solutions within operational contexts
• Provide hands-on troubleshooting and support for AI models running in production mode

AI Engineer, Forward Deployed

Full-stack Engineer

• Responsible for designing, building, and delivering product functionalities with high reliability and quality
• Participate in refinement to understand, collaborate closely with product, QA, and other teams to translate requirements into technical solutions
• Anticipate problems, lead by example, improve engineering practices, and ensure the scalability, performance, and maintainability of the system
• Take ownership of major components, review code rigorously, and contribute to the long-term technical roadmap
• Build and maintain stable products with latest tech-stack, frameworks and following Agile and DevOps ways-of-working
• Accountable for delivering quality solutions to the problems without compromising on the planned deadlines
• Leverage various AI models through tools (such as Copilot) for code generation, test case generation, code analysis, and code optimization
• Contribute to redesigning and enhancing applications to latest technologies
• Play a part in every aspect of the software development lifecycle, including software design, development, testing, reviewing, and deployment

Senior Software Engineer

Data Engineer

• Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable
• Design and implement Snowflake and dbt pipelines from raw source data to curated gold-layer datasets
• Create semantic models that LLM tools can use reliably
• Partner with data science, product, and engineering teams to convert data dictionaries and business definitions into AI-ready data products

AI Data Engineer

Backend Engineer

• Join our DevOps Engineering team as a Senior Database Engineer to design, build, and engineer cloud-native database platforms.
• You'll work closely with DevOps and Product Engineering to build high-performing data infrastructure.
• You will own and evolve a diverse ecosystem spanning AWS RDS, Aurora, DynamoDB, Redshift, Azure SQL, PostgreSQL, Snowflake, and NoSQL engines.

Senior Database Engineer – Platform Engineering

Scrum Master

• Facilitate Scrum ceremonies, including sprint planning, daily stand-ups, reviews, and retrospectives.
• Support backlog readiness, sprint capacity planning, and dependency visibility to improve predictability and execution.
• Coach teams on agile practices, continuous improvement, and effective cross-functional collaboration.
• Manage selected internal initiatives using a waterfall project approach when timing, scope, governance, or coordination needs require it.
• Define project scope, timelines, milestones, risks, assumptions, and resource needs for priority initiatives.
• Track progress across agile delivery and structured projects, ensuring stakeholders have clear visibility into status, blockers, and tradeoffs.
• Maintain project documentation, action logs, milestone plans, and reporting artifacts.
• Partner with business and technical stakeholders to align priorities, resolve issues, and support on-time execution.

Agile Project Manager

Consultant

• Support projects and customer engagements where IntegriChain is providing ongoing strategic, operational and compliance support relating to the various U.S. Government Programs
• Interpret and apply regulatory guidance, federal legislation, and agency publications to real-world client scenarios
• Assist with and advise on government pricing methodologies and calculations
• Create deliverables of utmost quality for customers, manage expectations internally and externally
• Serve as a primary day-to-day contact for small to mid-tier client accounts
• Support pre-commercial customer engagements and ensure the successful and timely completion of all GP-related pre-launch activities
• Assess customers’ current state GP processes and benchmark against industry norms and best practices
• Develop, update, and review policies and procedures to support regulatory compliance and effective governance
• Produce high-quality client deliverables, including analyses, presentations, and written guidance
• Manage multiple projects and responsibilities in parallel, while ensuring accuracy and timely delivery and responses to customer requests

Senior Consultant, Advisory

Manager

• Supports the data preparation, validation, calculation and analysis of price reporting required by the government programs
• Prepares and validates underlying data for various price calculations
• Responsible for review and maintenance of key master data utilized within all Government Pricing calculations
• Manages the clients’ class of trade hierarchy and ensures that all incoming transactions are tagged or mapped to the correct designation
• Analyzes calculation results and identify the source of variances that are observed
• Works closely with clients, GP Manager and technical team to resolve system, data and process issues
• Documents all revisions and data manipulations on clients’ data as per financial controls and standard operating procedures
• Ensures timely and accurate calculation of assigned government prices based on the schedule

Manager, Government Pricing

General Counsel

• Draft, review, and negotiate commercial agreements with customers, vendors, and partners, including NDAs, SaaS agreements, MSAs, SOWs, and DPAs
• Advise internal stakeholders on legal and compliance considerations associated with business operations
• Support privacy, data security, and information governance initiatives, including incident response
• Partner with product and engineering teams on legal issues related to data use, analytics, AI, and platform functionality
• Assist with corporate governance and internal policies
• Support dispute resolution, audits, and investigations