Our challengeWe 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. This role will be responsible for architecting and delivering scalable, secure, and production-ready AI systems that align with enterprise technology standards, governance frameworks, and compliance requirements.
Additional Information*
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Dallas, TX is $140k - $150k/year & benefits (see below).
The RoleResponsibilities:- 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 that enable 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 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.
- Enable intelligent document indexing, metadata extraction, semantic retrieval, and enterprise-wide search capabilities.
- 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.
- Demonstrated hands-on expertise with Amazon Bedrock, Azure OpenAI, and/or direct integration with LLM APIs and model services.
- 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.
- Familiarity with modern frontend technologies including React, Angular, TypeScript, JavaScript, HTML5, and CSS3.
- 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.
We offer:- A highly competitive compensation and benefits package.
- 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).
- Retirement savings plans.
- A 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.
