Sr. AI/ML Engineer

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 22 countries within key global markets. Our challenge We are seeking an experienced AI/ML Engineer to design, develop, and deploy production-grade AI and generative AI solutions for financial services and asset management use cases. The ideal candidate will have strong hands-on experience building LLM-powered applications, data integration platforms, retrieval-augmented generation systems, agentic AI workflows, and NLP-to-SQL solutions. This role requires a combination of software engineering, data engineering, machine learning, cloud, and financial domain expertise. The successful candidate will work closely with product teams, data engineers, business stakeholders, risk teams, and technology leaders to deliver secure, scalable, governed, and compliant AI solutions. 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 $120K - $160K & benefits (see below). The Role Responsibilities: Design, build, and deploy production-grade AI/ML and generative AI applications. Develop LLM-based solutions using patterns such as: Retrieval-Augmented Generation (RAG) Agentic AI Model Context Protocol (MCP) NLP-to-SQL Function and tool calling Streaming responses Intelligent document and financial data processing Prepare, cleanse, transform, and curate data for LLM and generative AI use cases. Design and implement data ingestion and integration pipelines using SQL, PySpark, cloud services, and enterprise data platforms. Build scalable services and APIs for AI/ML applications. Design, consume, and integrate REST APIs with appropriate authentication, rate limiting, validation, monitoring, and error handling. Work with vector databases and embedding technologies to implement semantic search and knowledge retrieval solutions. Integrate AI applications with structured and unstructured enterprise data sources. Develop secure and reusable prompt templates, system instructions, evaluation frameworks, and model interaction patterns. Work with major model provider APIs, including OpenAI GPT and/or Anthropic Claude . Implement model features such as prompt engineering, function calling, tool use, streaming, context management, and response validation. Deploy AI solutions using cloud platforms, containerized architectures, and modern CI/CD practices. Collaborate with data scientists, software engineers, product managers, and business stakeholders to translate requirements into technical solutions. Ensure solutions comply with data governance, security, regulatory, privacy, and risk-management requirements. Conduct model and application testing, including quality, accuracy, performance, security, and responsible AI assessments. Monitor production AI applications and continuously improve reliability, cost efficiency, latency, and output quality. Communicate technical concepts clearly to both technical and non-technical stakeholders. Requirements: AI, Machine Learning, and Generative AI Hands-on experience building and deploying LLM and GenAI applications in production. Strong understanding of AI/ML concepts, frameworks, model lifecycle management, and AI application architecture. Experience with production AI patterns such as: RAG Agentic AI MCP NLP-to-SQL Semantic search Document intelligence Tool and function calling Proficiency in generative AI and LLM data preparation for financial services use cases. Experience with prompt design, prompt evaluation, context management, and output validation. Working knowledge of at least one major model provider API, such as: OpenAI GPT Anthropic Claude Experience implementing streaming, function calling, tool integration, and model orchestration. Software Engineering and Development Strong proficiency in Python and SQL . Experience using VS Code and developer productivity tools such as GitHub Copilot . Experience with one or more of the following programming languages and technologies: .NET / C# Java React Strong understanding of software development practices, version control, testing, debugging, code review, and CI/CD. Proficiency with Git and GitHub-based development workflows. Experience designing and consuming RESTful APIs. Understanding of API authentication, authorization, rate limiting, monitoring, logging, and error handling. Preferred skills: Experience developing enterprise-grade GenAI platforms or AI assistants. Knowledge of MLOps, LLMOps, model evaluation, observability, and responsible AI practices. Experience with orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or comparable technologies. Knowledge of embedding models, reranking, chunking strategies, vector indexing, and retrieval evaluation. Experience with secure handling of sensitive, confidential, and regulated financial data. Familiarity with cloud AI services and managed model platforms. Experience with Agile delivery methodologies and cross-functional product development. We offer: A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave plus an additional 10 days of personal leave (floating days and sick days). A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability. Flexible hybrid policy. RRSP with employer’s contribution up to 4%. A higher education certification policy. 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 truly diverse, fun-loving and global work culture. S YNECHRON’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. Show more Show less