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 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a highly experienced AI & Data Engineering Architect with extensive expertise in designing, developing, and implementing end-to-end data platforms, AI models, and enterprise solutions across cloud and multi-cloud environments. The ideal candidate will have a strong background in Big Data, Data Science, Generative AI, NLP, and MLOps, with hands-on experience in deploying scalable, secure, and high-performance data architectures.

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 Las Vegas NV is $120k - $140k/year & benefits (see below).

The Role

Responsibilities:

• Design, architect, and develop scalable data models, ETL pipelines, and analytics solutions using tools like Spark, Databricks, Snowflake, Hadoop, and cloud platforms such as AWS and Azure.
• Lead the development and operationalization of Generative AI solutions, including LLMs, diffusion models, and multi-modal systems, utilizing frameworks like Hugging Face, LangChain, and OpenAI APIs.
• Fine-tune and deploy large language models (LLMs) such as GPT, BERT, LLAMA, catering to domain-specific needs.
• Implement retrieval-augmented generation (RAG), semantic search, and multi-modal workflows to enhance enterprise search and decision-making capabilities.
• Architect and optimize data lakes, Delta Lake, Data Mesh, and Data Fabric solutions ensuring data reliability, schema enforcement, and high performance.
• Develop and automate data pipelines for model training, evaluation, inference, and continuous learning using tools such as Azure Data Factory, AWS Glue, and MLflow.
• Build and maintain enterprise data models, visualizations, and dashboards using Tableau, Power BI, and QlikView.
• Collaborate with cross-functional teams to integrate AI models into enterprise workflows, ensuring scalability, security, and compliance.
• Handle petabytes of data across multiple sources, ensuring efficient data ingestion, transformation, and analytics.
• Engage in NLP projects including sentiment analysis, chatbots, text classification, and computer vision tasks.

Requirements:

• 12+ years of experience in Data Engineering, AI, and Cloud Solutions.
• Expertise in cloud platforms like AWS (SageMaker, Bedrock, S3, Redshift) and Azure (Azure ML, AI Studio, Data Factory).
• Strong knowledge of Big Data ecosystems: Hadoop, Spark, Hive, Snowflake, DataBricks.
• Proficiency in Python, R, Scala, SQL, and Java.
• Hands-on experience with ML/DL frameworks: TensorFlow, PyTorch, Keras.
• Demonstrated experience with large language models, retrieval systems, and generative AI.
• Skilled in MLOps, DevOps, CI/CD pipelines, Docker, Kubernetes, Terraform.
• Strong understanding of data modeling, database architecture (NoSQL, SQL).
• Excellent problem-solving, communication, and leadership skills.

Preferred, but not required:

• Cloud certifications (AWS, Azure), Data Science, AI Architect certifications.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 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.

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.

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