Principal AI Engineer

About the role

We are seeking a highly experienced Lead / Principal AI Engineer to lead the design, development, and deployment of advanced AI and large language model (LLM)-powered solutions within a regulated enterprise environment.

Role Responsibilities

• 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.
• 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 that enable efficient ingestion, enrichment, indexing, and retrieval of enterprise content.
• 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 technologies such as React, Angular, TypeScript, JavaScript, HTML5, and CSS3.
• Design and implement data solutions utilizing technologies such as MongoDB, Azure Data Services, and Azure AI Search.
• Establish observability and monitoring frameworks for AI systems, including pipeline health, model performance, latency, usage, quality, and cost metrics.
• Ensure AI platforms and services comply with enterprise requirements related to security, privacy, governance, risk, and regulatory oversight.
• Build systems with strong support for auditability, traceability, explainability, and operational transparency, particularly in regulated environments.

Requirements

• 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.
• Strong experience designing retrieval-augmented generation (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.
• Strong understanding of scalability, security, performance optimization, and enterprise software design principles.
• Experience developing solutions in regulated environments, preferably within financial services, banking, lending, or compliance-driven organizations.

Preferred, But Not Required

• Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience delivering AI solutions for financial services compliance, risk management, lending operations, or governance functions.
• Familiarity with enterprise frameworks for AI risk management, model governance, and responsible AI practices.
• Experience implementing observability and evaluation frameworks for LLM applications in production.
• Knowledge of secure cloud deployment models across Azure and/or AWS enterprise ecosystems.
• Demonstrated success leading complex technical initiatives and influencing architecture decisions across multiple teams.

Benefits

We offer a highly competitive compensation and benefits package, including:

• A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retail savings plans.
• Higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

Synechron’s Diversity & Inclusion Statement

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.