AI Solutions Architect

About the Role

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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.

About Sycomp

Sycomp is a global IT services and logistics provider with extensive expertise in cloud, data center, endpoint management and security solutions. Sycomp's diverse team of consultants and engineers deliver on the company's mission to tackle challenging global IT projects through its state-of-the-art integration and warehouse centers and global technology partnerships. Headquartered in the heart of Silicon Valley, California, Sycomp has successfully shipped, deployed and managed complex IT projects and supporting assets in more than 150 countries helping its Fortune 500 customers and global partners realize a world without boundaries.

Responsibilities

• Design and build AI pipelines that handle real-world messiness – long-form media, unstructured documents, streaming data, multi-modal inputs – including the chunking, context management, retry logic, and output validation that production systems require.
• Architect autonomous agent systems: tool selection, planning loops, memory strategies, evaluation, and the guardrails that keep them from going off the rails.
• Build on AWS using services like Bedrock, S3, Lambda, Step Functions, SageMaker, OpenSearch, and ECS/EKS – choosing the right primitive for the job rather than forcing one pattern everywhere.
• Make pragmatic decisions about model selection, prompt design, fine-tuning vs. RAG vs. agentic workflows, and cost/latency/quality tradeoffs.
• Own the data layer: how data is ingested, transformed, stored, indexed, and surfaced to models so that outputs are accurate, traceable, and useful.
• Establish evaluation frameworks and observability so we know whether the system is actually getting better when we change it.Collaborate with engineers and stakeholders to translate fuzzy business problems into technical designs and shipped systems.

Qualifications

• 4+ years of software engineering experience, with at least 2 years building AI/ML systems in production.
• 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.
• 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).
• 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.
• Experience designing evaluation pipelines for non-deterministic systems – you know that "it worked when I tested it" is not a quality bar.

Required Skills

• 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).
• 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.

Preferred Skills

You're skeptical of hype but excited about what actually works. You can tell the difference between a demo and a system. You think about failure modes early. What happens when the model returns garbage? When the input is 10× bigger than expected? When the API rate-limits you mid-pipeline? You care about cost and latency, not just capability. A solution that's 10× more expensive than it needs to be isn't a solution. You communicate clearly with non-AI engineers and non-technical stakeholders. You can explain why an agent failed without hand-waving about "the model."

Pay range and compensation package

Compensation for this role starts at $120 annually and may vary based on experience, skills, and qualifications. This position also includes a comprehensive benefits package, including health, dental, vision, and other standard benefits.

This position is remote within the United States. Candidates must reside in one of the following approved states: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, KY, ME, MD, MN, NV, NJ, NY, NC, OH, OR, SD, TX, UT, VA, or WA.

Technology Means the World to Us

Technology connects people, enables business, fosters innovation, and helps organizations operate without boundaries. Every day, Sycomp's diverse team delivers on the company's mission to help customers and partners navigate the complexity of global IT—from cloud and data center computing to cyber security, networking, and integration and logistics across more than 150 countries. If you thrive in a growth-minded and values-driven culture, Sycomp may be your next career adventure. At Sycomp, you will have the opportunity to work in a global setting, collaborate with cross-functional teams, and be part of a dynamic and growing organization.

Sycomp is known for its strong culture and commitment to employee growth. With a 93% company-wide retention rate, we foster an environment where people can make a meaningful impact, develop professionally, and build rewarding careers over the long term.

Learn more about Sycomp and our employee benefits at: Opportunity Statement

Sycomp is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, veteran status, or any other protected characteristic.

Sycomp will provide reasonable accommodation for qualified individuals with disabilities as needed. If you need assistance or an accommodation in applying, please contact our Human ResourcesDepartment at

Sycomp may use automated tools, including artificial intelligence, to support certain aspects of the recruitment process, such as reviewing applications or identifying relevant experience. xhyhwjd These tools assist our teams, and all hiring decisions are made following human review.