Lead Gen AI & Data 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 16,400 , and has 60 offices in 20 countries within key global markets.

Our challenge

We are seeking a hands-on Lead GenAI Agentic AI Engineer to lead the design and development of intelligent, enterprise-grade AI agents. Using Google ADK, LangChain, and LangGraph, will create advanced LLM applications that seamlessly interact with multiple Systems of Record (SoRs) through robust data pipelines and integrations. This role involves owning the entire lifecycle—from designing agent workflows and enterprise data integration to deploying scalable, production-ready solutions with strong observability, governance, and performance optimization.

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 Charlotte, NC is $110k - $120k/year & benefits (see below).

The Role

Responsibilities:

• Design and develop Agentic AI systems leveraging Google ADK, LangChain, and LangGraph, including multi-agent orchestration, state management, and tool integration with enterprise-approved LLMs.
• Build reliable data pipelines, APIs, and connectors to integrate agents with enterprise SoRs across both structured and unstructured data sources.
• Integrate organization-approved foundation models (such as Anthropic, Google Gemini, etc.) into agent workflows for various tasks.
• Collaborate with Process Excellence and Operations teams to brainstorm and implement AI copilots and AI agents for diverse business functions.
• Develop scalable Python-based services to support agent workflows, incorporating Retrieval-Augmented Generation (RAG), tool calling, memory, and structured outputs.
• Engineer data ingestion and transformation pipelines (batch and streaming) to enable high-quality, governed data access for AI agents.
• Write and optimize complex SQL queries for analytics, feature extraction, and real-time decisioning in AI workflows.
• Implement observability, evaluation, and governance guardrails across data and AI layers to ensure system performance, quality, compliance, and cost efficiency.

Requirements:

• Experience in Generative AI, AI Data Engineering, or Agentic AI-focused roles.
• Expertise in Prompt Engineering, Context Engineering, and Python development.
• Hands-on experience building agentic AI solutions using Google ADK, LangChain, and LangGraph, including orchestration and tool usage patterns.
• Strong Python development skills for backend services, workflow engines, and AI pipelines.
• Solid data engineering expertise including: Building ETL/ELT pipelines, integrating data from multiple SoRs (APIs, databases, files, streams), Managing data quality, schema evolution, and lineage
• Advanced SQL proficiency (complex joins, window functions, query optimization).
• Experience with Retrieval-Augmented Generation (RAG) architectures and connecting LLMs with enterprise data sources such as vector stores and relational databases.
• Production-grade engineering practices: testing, CI/CD, logging, monitoring, and error handling.

Preferred, but not required:

• Experience with modern data stack tools (e.g., dbt, Apache Airflow, Kafka, Pub/Sub, BigQuery, Snowflake).
• Familiarity with vector databases and hybrid retrieval strategies.
• Experience deploying scalable AI solutions on GCP (preferred) or other cloud platforms.
• Knowledge of data governance, security, and PII handling in AI/data pipelines.
• Exposure to LLMOps frameworks (evaluation, prompt/version management, tracing, cost optimization).
• Experience implementing guardrails and safety controls for enterprise AI agents.

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.

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.