Role Description As Thunder continues to expand its AWS partnership, we’re growing our Federal team and looking for an Amazon Connect Developer to help us build and optimize cutting-edge cloud solutions. This role is not just about writing code—you will be playing a crucial role in developing cutting-edge next-generation contact centers leveraging Artificial Intelligence as part of the solution. You’ll play a key role in architecting, optimizing, and managing advanced contact center solutions while working closely with cross-functional teams. The ideal candidate will have a strong track record in AWS implementations, a foundational understanding of Artificial Intelligence, hold multiple AWS certifications, and demonstrate expertise in designing, deploying, and optimizing scalable cloud solutions. At Thunder, we value technical expertise, but we’re also looking for team players with a growth mindset, creative problem-solving skills, and a passion for innovation. If you're ready to level up your AWS expertise, let’s talk! Qualifications - 3-5+ years of hands-on experience in AWS development, cloud architecture, and automation in the Federal space - Expertise in AWS services, including some of the following: Lambda, API Gateway, S3, DynamoDB, CloudTrail, IAM, Amazon Q, Bedrock, and CloudWatch - Deep knowledge of serverless computing, event-driven architectures, and microservices - Experience building AI-driven chatbots with Amazon Lex and designing contact center solutions using Amazon Connect - Understanding of call flows, IVR trees, email/chat channel design, and contact center operations - Proficiency in scripting and automation (Python, Node.js, or similar) - Strong problem-solving and debugging skills with a proactive, solution-oriented mindset - Ability to work flexible hours to align with US time zones as project work requires - Excellent communication and collaboration skills, with experience working across global teams Requirements - At least one AWS Associate Level Certification - AWS Certified Developer - Associate - AWS Certified Solution Architect - Associate - Salesforce Certifications (a plus): - Salesforce Certified Platform Developer I - Salesforce Consultant Certifications in Cloud areas of expertise - Experience with APEX development and Salesforce platform customization - Familiarity with Agile development methodologies, DevOps practices, and CI/CD pipelines - Familiarity with Salesforce Service Cloud object model, omni-channel, and Service Cloud Voice - Strong language skills - fluency in English, both written and verbal - Must be a U.S. Citizen (required) - Willingness to attain a U.S. Security Clearance (e.g., Public Trust, Secret) as required by specific projects. Current clearance is not required to apply Benefits - Comprehensive Benefits with Sequoia – Medical, Dental, Vision, and Employer-Paid Life/Disability Insurance to keep you and your loved ones covered - Ownership & Impact – Stock options in a fast-moving, high-growth company. Every employee plays a part in what we’re building - Level Up Your Career – Real opportunities to grow your Salesforce and Amazon expertise through mentorship, certifications, and hands-on experience with cutting-edge technology - Work from anywhere (well, almost 😉) - Enjoy the freedom of remote work, flexible PTO (with a 2-week minimum!), and generous leave policies - because the best work happens where you’re happiest - People-First Flexibility – We’re always listening, evolving, and adapting. Your feedback helps shape our policies, ensuring you can thrive - professionally and personally

Role Description As an AI Engineer at Valent, you will help design and build the core intelligence layer of the product. This is a hands-on engineering role for someone who likes turning messy real-world business processes into reliable software. You will work across: - Document extraction - Retrieval - Workflow orchestration - Evaluation - Agentic task execution - Structured data generation - User-facing AI features You should be excited by the challenge of making AI systems useful in environments where accuracy, traceability, and user trust matter. Because Valent is an early-stage company, this role is best suited for someone who: - Is comfortable with ambiguity - Communicates clearly in a remote environment - Can take ownership of technical problems without needing every detail specified upfront What you’ll work on: - Extract structured information from supplier documents, specifications, certificates, declarations, questionnaires, audit evidence, and regulatory files. - Power AI-assisted workflows for document collection, evidence packet assembly, customer requests, and audit preparation. - Use retrieval, ranking, and document understanding to help users find the right evidence across fragmented sources. - Generate draft responses, summaries, checklists, and compliance artifacts that remain reviewable and auditable by humans. - Build evaluation pipelines to measure quality, reduce hallucination, and improve reliability over time. - Design AI workflows that know when to act autonomously and when to escalate to a human. - Integrate AI features into a polished enterprise product experience. Qualifications - Strong software engineering fundamentals and experience shipping production systems. - Experience with LLMs, retrieval systems, document AI, agents, or applied machine learning. - Comfortable working across the stack when needed. - Ability to write clean, maintainable code and make sound technical tradeoffs. - Care about reliability, observability, testing, and product quality. - Can reason from first principles about when AI should automate, assist, or stay out of the way. - Interested in messy operational workflows, not just clean demos. - Communicate clearly in writing and are comfortable working remotely. - Can overlap for part of the day with U.S. Eastern Time. - Want to join early and help shape the technical foundation of a company. Requirements - Experience with LLM application development. - Familiarity with RAG systems and vector databases. - Document parsing, OCR, extraction, or classification experience. - Experience with evaluation frameworks for AI systems. - Workflow automation or agentic systems experience. - Enterprise SaaS experience. - Knowledge of compliance, supply chain, manufacturing, regulatory, or quality workflows. - Experience with React, TypeScript, Node.js, Python, Postgres, or cloud infrastructure. Benefits - Work remotely from India on a U.S.-based enterprise AI product. - Build AI into workflows where the value is operational, measurable, and immediate. - Join early enough to have meaningful influence over architecture, product, and culture. - Work on hard problems at the intersection of AI, enterprise workflow, compliance, and manufacturing. - Help define what modern compliance operations software should look like. How to apply Send your resume, LinkedIn profile, GitHub, portfolio, or anything else that shows how you think and build. We are especially interested in examples of products, systems, or AI workflows you have shipped.

• Serve as the delivery lead on a multi-year Azure modernization program for a public sector client, owning execution across active workstreams and downstream phases. • Coordinate the technical delivery team day to day, surfacing blockers early and keeping deliverables on schedule. • Own the program work plan, RAID log, status reporting, scope management, and change control on Azure-native and hybrid Microsoft environments. • Serve as the primary day-to-day client point of contact for delivery, including weekly status, scope conversations, and escalations to client leadership. • Translate Azure architecture and engineering progress into business language for client stakeholders, including director and VP level. • Run delivery aligned to the Microsoft Cloud Adoption Framework and Azure Well-Architected Framework, including landing zone, identity, networking, and security work streams. • Contribute to scoping and estimating new work streams as the multi-year roadmap continues to expand. • Stay informed about Azure platform roadmaps, Microsoft licensing and partner program changes, regulatory frameworks (NIST, FedRAMP, state privacy frameworks), and emerging delivery patterns relevant to Alpha's client base.

• Develop and maintain AWS Lambda functions supporting data retrieval and processing across LGY integrations. • Implement and support API integrations with VA enterprise systems • Build and maintain data transformation and mapping logic for downstream consumption in Salesforce. • Troubleshoot and remediate production defects related to Lambda execution and integration workflows. • Monitor and analyze CloudWatch logs and system metrics to identify errors and performance issues. • Implement error handling, retry logic, and resilient processing patterns for API-driven workflows. • Support AWS Step Functions orchestration for multi-step integration processes. • Conduct root cause analysis (RCA) and support resolution of production incidents. • Collaborate with development and DevOps teams to support deployments and system stability. • Ensure solutions follow secure coding practices and VA OIT compliance requirements. • Performs other job-related duties as assigned