Our client is looking for an AI Solution Architect to turn AI ambition into real-world impact. This role is all about taking ideas and blueprints and shaping them into AI programs that can be delivered, operated, and scaled reliably in production.
If you love bridging strategy with hands-on engineering and enjoy working directly with stakeholders to make AI work at enterprise scale, this could be a great fit.
What You'll Do
- Translate business and technical requirements into end-to-end AI solutions that run in production
- Design and implement systems using LLMs, multi-modal FMs, RAG, vector databases, agentic workflows, and MLOps best practices
- Set up secure, private AI environments on cloud platforms like AWS Bedrock, AgentCore, SageMaker, or equivalent
- Guide fine-tuning, distributed inference, FM evaluation, prompt/context engineering, and semantic search optimization
- Advise and influence technical and business decision makers, both internally and with customers
- Ensure solutions are scalable, secure, cost-optimized, and operationally excellent
Basic Qualifications
- 7+ years designing, implementing, or consulting on distributed applications
- 5+ years customer-facing experience delivering production AI systems
- Proven hands-on experience with: LLM/multi-modal FM integration, fine-tuning, distributed inference, RAG pipelines, vector DBs, agentic workflows, prompt engineering, and MLOps
- Practical experience building secure AI environments on AWS or equivalent, including embeddings, vector stores, and semantic search
- Strong communication skills across technical and non-technical audiences
- Ability to influence customers and internal leaders as a trusted technical voice
Preferred Qualifications
- Cloud certifications, especially AWS
- Track record leading complex projects with outcomes that are extensible, operationally excellent, and cost-optimized
- Experience driving team or org-wide initiatives where business goals are still taking shape
- Sharp judgment on when to simplify vs extend a solution for maximum impact
- Master's or PhD in CS, math, statistics, ML, or related field
- Deep experience fine-tuning LLMs/SLMs with LoRA/QLoRA, instruction tuning, RLHF for domain-specific tasks
- Expertise architecting AI in regulated or high-security environments such as Financial Services, Healthcare, or Public Sector
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