AI Solutions Architect

Sycomp; Ireland; Remote; EUR 120,000 - 180,000; Full time

Job summary

Sycomp is hiring an AI Solutions Architect to turn ambiguous problems like extracting structured insights from video into production pipelines. You will design AI pipelines and autonomous agents on cloud infrastructure (prefer AWS), working with product, data, and engineering to deploy scalable, reliable workloads.

The role requires hands-on experience in building AI systems in production, strong Python skills, and a deep understanding of data ingestion, embedding, indexing, and retrieval.

Qualifications

• 4+ years of software engineering experience, with 2+ years building AI/ML systems in production.
• Hands-on AWS experience (Bedrock or equivalent) plus services like S3, Lambda, Step Functions, SageMaker, OpenSearch.
• Experience building AI pipelines or agentic systems handling diverse data shapes with validation.
• Proficiency in Python and familiarity with LLM frameworks; strong data engineering foundations.

Responsibilities

• Design and build AI pipelines for real-world, multi-modal data and ensure production readiness with validation and observability.
• Architect autonomous agent systems including memory strategies, tool selection, and guardrails.
• Develop on AWS using Bedrock, S3, Lambda, Step Functions, SageMaker, OpenSearch, ECS/EKS with appropriate primitives.
• Evaluate model choices and design prompts, fine-tuning vs. retrieval-based workflows, with cost/latency/quality tradeoffs.
• Own data ingestion, transformation, storage, indexing, and surface to models for accurate outputs.
• Collaborate with engineers and product stakeholders to translate business problems into scalable technical designs.

Skills

Python

Prompt engineering

Data engineering fundamentals

System design

Tools

AWS Bedrock

SageMaker

OpenSearch

Lambda

ECS/EKS

Pinecone

Weaviate

pgvector

LangChain

Job description

Working Hours:

Primarily aligned with U.S. Central Time (CST/CDT). Candidates should be comfortable working a schedule that overlaps significantly with U.S. business hours to support collaboration with North American teams.

About the Role

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 testing for 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.”

Why Join Sycomp?

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 https://sycomp.com/careers

Equal 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 Resources Department at [e-mail]. Sycomp may use automated tools, including artificial intelligence, to support certain aspects of the recruitment process, such as reviewing applications or identifying relevant experience. These tools assist our teams, and all hiring decision(s) are made following human review.