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
Newbridge is a growing international technology organization operating across multiple sectors including fintech, digital asset trading, and software development. The company develops scalable web-based applications, advanced AI/ML systems, and mission-critical trading infrastructure serving institutional and professional market participants. They operate a global digital asset trading platform at institutional scale across multiple regions, offering high-performance trading ecosystems and blockchain-enabled financial services. The organization emphasizes modern engineering practices, cross-functional collaboration, and innovation in areas including distributed systems, machine learning, and exchange infrastructure.
