Forward Deployed AI Engineer 2026 - US, COL, UK

Forward Deployed AI EngineerAimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications.We are not a commodity consulting firm. We are a technical partner to organizations that need to move beyond experimentation and deploy AI into real business workflows with the architecture, governance, reliability, and engineering discipline required for production.We believe successful AI initiatives require much more than prompting an LLM. They require strong software engineering, scalable architecture, reliable deployment, thoughtful evaluation, and disciplined engineering practices.About the RoleAs a Forward Deployed AI Engineer, you will work directly with clients to design, build, deploy, and scale enterprise AI solutions. You will combine strong software engineering fundamentals with modern AI technologies to deliver production-ready systems that create measurable business value.You will work across the entire AI engineering lifecycle; from solution architecture and application development to deployment, evaluation, and operationalization.What You Will DoDesign, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflowsTranslate business problems into scalable technical solutions using modern AI engineering best practicesDevelop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systemsBuild multi-agent systems, AI agents, workflow automation, and decision-support systemsDeploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governanceDesign AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applicationsCollaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholdersExperience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoringContribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practiceStay current with emerging AI technologies and recommend practical approaches that improve client outcomesWhat We Are Looking ForWe are looking for engineers who enjoy solving difficult technical problems and building production software. You are comfortable moving between software engineering, AI application development, cloud architecture, and client collaboration.You understand that successful AI systems require excellent engineering, not just excellent models.Required QualificationsBachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience3+ years of professional software engineering experience building production applications1+ years designing and deploying AI or machine learning solutions into productionStrong programming experience using Python, Java, C#, Go, TypeScript, or similar languagesExperience building scalable backend systems, APIs, or distributed applications.Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutionsExperience with online and offline evaluation, observability, context engineering, guardrails, and AI governanceExperience with MLOps, LLMOps, or production deployment pipelinesStrong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system designExperience using coding harnesses like GitHub Copilot or other comparable toolsExperience integrating AI applications with enterprise data sources, APIs, and business systemsFamiliarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologiesExperience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologiesStrong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholdersAbility to independently own technical workstreams while collaborating across multidisciplinary teamsPreferred QualificationsOne or more of the following is a plus:Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot,.NET, and ExpressExperience building multi-agent systems, AI automated workflows, agents, semantic search, vector databases, or knowledge graph retrieval applicationsExperience designing distributed systems, concurrency, or high-scale cloud applicationsExperience deploying AI solutions serving 1000+ usersConsulting experience or experience working directly with enterprise customersExperience building data pipelines, including ETL, ELT, batch, and streaming pipelines for analytics and AI applicationsExperience pre-training or fine-tuning LLMsWe are actively seeking candidates for full-time, remote work within the US, COL and UK. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.