> Markdown version of [/jobs/ext/3541597-ai-solutions-architect](https://www.wearedevelopers.com/jobs/ext/3541597-ai-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Architect - **Company:** Sycomp LLC - **Location:** United States - **Experience:** Experienced - **Salary:** $249,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Computing, Data Centers, Information Engineering, Information Retrieval, Python (Programming Language), Language Modeling, Raw Data, Search Technologies, Data Streaming, Large Language Models, Prompt Engineering, Information Technology, Machine Learning Operations, Software Version Control - **Published:** September 30, 2026 - **Apply:** https://www.thejobnetwork.com/job/8027fdd4-825c-4690-89f4-276dd54f426b/ai-solutions-architect ## About the Role * 4+ years of software engineering experience, with at least 2 years building AI/ML systems in production. \n * Hands-on experience with AWS, including Bedrock or equivalent foundation model services, and at least a few of: S3, Lambda, Step Functions, SageMaker, OpenSearch, Dynamo DB, ECS/EKS. \n * Demonstrable experience building AI pipelines or agentic systems that handle non-trivial data shapes - long documents, audio/video, large structured datasets, or streaming inputs.Strong intuition for prompt engineering, context window management, chunking strategies, and output validation (structured outputs, schema enforcement, retries on malformed responses). \n * Proficiency in Python; comfortable with at least one frameworks in the LLM ecosystem (LangChain, LlamaIndex, LangGraph, Bedrock Agents, Strands, or similar) - though you should also be willing to drop the framework when it gets in the way.Solid grasp of data engineering fundamentals: how to clean, transform, embed, index, and retrieve data so that what reaches the model is actually useful. \n * Experience designing evaluation pipelines for non-deterministic systems - you know that "it worked when I tested it" is not a quality bar. \n, * Experience with Azure (Azure OpenAI, AI Foundry, AI Search) or GCP (Vertex AI, Gemini APIs).Background in multi-modal systems (vision-language models, audio transcription pipelines, video understanding). \n * Experience with vector databases (Pinecone, Weaviate, pgvector, OpenSearch k-NN) and hybrid retrieval strategies.Familiarity with fine-tuning, distillation, or model adaptation techniques.Experience with MLOps tooling, model versioning, and A/B testingfor AI systems.Contributions to open source AI/ML projects. \n ## Description We're hiring an AI Solutions Architect who can take an ambiguous problem - "extract structured insight from hours of video" - and turn it into a production pipeline that actually works. This isn't a role for someone who only knows how to call an API and parse the response. We need an engineer who understands the full lifecycle: how raw data gets shaped, chunked, embedded, routed through a foundation model, validated, and turned into something a downstream system or human can act on. You'll architect and build AI pipelines and autonomous agent systems on cloud infrastructure (AWS preferred), working closely with product, data, and engineering to deliver capabilities that move beyond proof-of-concept into reliable, scalable production workloads., Sycomp may use automated tools, including artificial intelligence, to support certain aspects of the recruitment process, such as reviewing applications or identifying relevant experience. 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