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Lead Gen AI & Data EngineerSynechron • Charlotte, North Carolina, United States
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Lead Gen AI & Data Engineer

Synechron
  • US
    Charlotte, North Carolina, United States
  • US
    Charlotte, North Carolina, United States
Jetzt Bewerben

Über

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.
We are looking for Sr. Gen AI and Data Engineer
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 - $118k/year & benefits (see below).
Responsibilities
Design and develop Agentic AI systems using Google ADK, LangChain, and LangGraph, including multi‑agent orchestration, state management, and tool integration leveraging enterprise approved LLMs.
Integrate agents with enterprise Systems of Record (SoRs) by building reliable data pipelines, APIs, and connectors across structured and unstructured sources.
Integrate organization‑approved foundation models (like Anthropic, Google Gemini etc.) into Agentic task‑based workflows.
Partner with Process Excellence and Ops teams to ideate and implement AI copilots and AI Agents for business functions.
Develop scalable Python‑based services for agent workflows, incorporating RAG, tool calling, memory, and structured outputs.
Engineer data ingestion and transformation pipelines (batch/streaming) to enable high‑quality, governed data access for AI agents.
Write and optimise complex SQL queries for analytics, feature extraction, and real‑time agent decisioning.
Implement observability, evaluation, and guardrails across both data and AI layers, ensuring performance, quality, compliance, and cost efficiency.
Use SQL, Python, and cloud‑native tools (GCP, Azure, or AWS) to ensure data quality and lineage.
Requirements
5+ years in Gen AI, AI Data Engineering, and Agentic AI‑focused roles.
Hands‑on experience building agentic AI solutions
using
Google ADK + LangChain/LangGraph , including orchestration and tool usage patterns.
Strong Python development skills
for backend services, workflow engines, and AI pipelines.
Integrating data from
multiple SoRs (APIs, DBs, files, streams)
Working with data quality, schema evolution, and lineage
Advanced SQL proficiency
(complex joins, window functions, query optimisation).
Experience with RAG architectures
and integrating LLMs with enterprise data sources (vector stores + relational systems).
Production‑grade engineering practices : testing, CI/CD, logging, monitoring, and error handling.
You are
5+ years in Gen AI, AI Data Engineering, and Agentic AI‑focused roles.
Adept at building agentic AI solutions using Google ADK + LangChain/LangGraph.
Strong Python developer.
Skilled in integrating multiple SoRs.
Proficient in data quality, schema evolution, and lineage.
Advanced SQL skills.
Experienced with RAG architectures and enterprise data source integration.
Practicing production‑grade engineering skills.
Preferred Skills & Qualifications
Experience with modern data stack tools (e.g., dbt, Airflow/Composer, Kafka/PubSub, BigQuery/Snowflake).
Familiarity with vector databases and hybrid retrieval strategies.
Experience deploying solutions on GCP (preferred) or other cloud platforms with scalable architectures.
Knowledge of data governance, security, and PII handling in AI/data pipelines.
Exposure to LLMOps frameworks (evaluation, prompt/version management, tracing, cost optimisation).
Experience implementing guardrails and safety controls for enterprise AI agents.
We offer
A highly competitive compensation and benefits package.
A multinational organisation 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 Centers of Excellence (CoE) groups.
Cutting‑edge projects at the world’s leading tier‑one banks, financial institutions and insurance firms.
A flat and approachable organisation.
A truly diverse, fun‑loving, and global work culture.
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, 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 programmes, 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.
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  • Charlotte, North Carolina, United States

Sprachkenntnisse

  • English
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