AI & Data Engineering Architect (Hands-on Coding)

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. Synechrons 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 14500 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 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 worlds leading tier-one banks financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse fun-loving and global work culture.

SYNECHRONS 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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