Principal AI Engineer

We are Synechron, a global consulting firm that uses digital technology to transform businesses. Our services span AI, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering and we serve a range of financial and technology clients.

This role is for a Lead/Principal AI Engineer to design, develop, and deploy advanced AI and LLM‑powered solutions in a regulated enterprise environment. The engineer will architect scalable, secure, production‑ready AI systems that align with corporate technology standards, governance and compliance requirements.

• Lead the architecture, design and implementation of enterprise‑grade AI solutions leveraging large language models and related AI technologies.
• Design and deploy LLM‑based applications using platforms such as Amazon Bedrock, Azure OpenAI, and direct model/API integrations.
• Build scalable orchestration layers for prompt execution, model routing, completion handling, response optimization and service resiliency.
• Design and implement retrieval‑augmented generation (RAG) frameworks to support enterprise search, reasoning and decision‑support use cases.
• Architect and develop AI‑powered document ingestion, conversion, parsing, extraction and analysis pipelines.
• Transform large volumes of complex, unstructured enterprise and financial documents into structured data suitable for downstream AI reasoning and business process automation.
• Design and optimize data pipelines and ETL processes for efficient ingestion, enrichment, indexing and retrieval of enterprise content.
• Design and develop backend services using Python, Node.js, Java and modern enterprise integration patterns.
• Build and maintain RESTful APIs, microservices and distributed application components supporting AI‑enabled products and services.
• Partner with user‑experience and frontend engineering teams to support AI‑enabled interfaces built with React, Angular, Type Script, JavaScript, HTML5 and CSS
  3.
• Design and implement data solutions utilizing MongoDB, Azure Data Services and Azure AI Search.
• Enable intelligent document indexing, metadata extraction, semantic retrieval and enterprise‑wide search capabilities.
• Establish observability and monitoring frameworks for AI systems, covering pipeline health, model performance, latency, usage, quality and cost metrics.
• Ensure AI platforms and services comply with enterprise security, privacy, governance, risk and regulatory oversight requirements.
• Build systems with auditability, traceability, explainability and operational transparency suitable for regulated environments.

• Bachelor’s degree in Computer Science, Engineering, Information Systems or a related technical discipline; advanced degree preferred.
• Extensive experience designing, developing and deploying production‑grade AI/ML or LLM‑based systems in enterprise environments.
• Demonstrated hands‑on expertise with Amazon Bedrock, Azure OpenAI and/or direct integration with LLM APIs and model services.
• Strong experience designing RAG architectures, prompt engineering workflows and LLM service orchestration layers.
• Proven experience in AI pipeline engineering, including document ingestion, transformation, structured extraction and downstream AI consumption.
• Strong programming expertise in Python with additional experience in Node.js and/or Java.
• Experience building and integrating REST APIs, microservices and cloud‑native services.
• Strong knowledge of ETL processes, data engineering concepts, database design and enterprise integration patterns.
• Hands‑on experience with MongoDB, Azure Data Services and Azure AI Search.
• Familiarity with modern frontend technologies including React, Angular, Type Script, JavaScript, HTML5 and CSS
  3.
• Solid understanding of scalability, security, performance optimisation and enterprise software design principles.
• Experience developing solutions in regulated environments, preferably within financial services, banking, lending or compliance‑driven organisations.
• Preferred:
  Advanced degree in Computer Science, Artificial Intelligence, Data Science or related field.
• Experience delivering AI solutions for financial services compliance, risk management, lending…