Ai- Forward Engineer

DeWinter Group; Atlanta (GA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

DeWinter Group is seeking an Ai-Forward Engineer to drive the deployment of data and AI platforms for enterprise clients. The role combines engineering, technical consulting, and post-sales delivery to operationalize advanced AI in complex environments.

You will work with client teams to analyze architectures, design deployment strategies, and ensure secure, scalable data pipelines end-to-end across cloud, on-premises, and hybrid setups.

Qualifications

• Extensive hands-on experience in data engineering, platform engineering, or systems integration within distributed environments.
• Proven track record implementing complex software platforms in customer settings.
• Proficiency with Spark, Trino, Airflow and similar data tools.
• Strong understanding of Kubernetes and cloud/hybrid infrastructures.
• Experience translating customer requirements into scalable solutions.

Responsibilities

• Lead technical onboarding and deployment for enterprise clients.
• Collaborate with customer data, infrastructure, security, and engineering teams.
• Analyze customer architectures to develop tailored deployment strategies.
• Guide integration of data layers for AI and analytics use cases.
• Configure and optimize data-processing, security, and governance technologies.
• Support Kubernetes-based deployments and troubleshoot issues.

Skills

Data engineering

Platform integration

Distributed environments

Customer-facing communication

Security & governance awareness

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Apache Spark

Trino

Airflow

Kubernetes

dbt

Fivetran

Airbyte

Job description

Ai- Forward Engineer

Unlock the power of data and AI through sophisticated platform integrations as an Ai- Forward Engineer. This dynamic, customer-facing role sits at the crossroads of engineering, technical consulting, and post-sales delivery—empowering enterprise clients to operationalize advanced data and AI solutions in complex environments. If you thrive on solving intricate technical challenges, working directly with clients, and shaping deployment strategies that bridge cloud, on-premises, and hybrid infrastructures, this is your opportunity to make a tangible impact.

Key Responsibilities:

• Lead technical onboarding and deployment for enterprise clients.
• Collaborate closely with customer data, infrastructure, security, and engineering teams.
• Analyze customer architectures, operational needs, and security constraints to develop tailored deployment strategies.
• Guide integration of trusted data layers for AI and analytics use cases.
• Configure and optimize data-processing, orchestration, security, identity, and governance technologies.
• Support Kubernetes-based deployments; troubleshoot infrastructure and configuration issues.
• Advise on AI-agent setup, security policies, governance, and best practices.
• Diagnose complex technical issues across data, application, infrastructure, and security ecosystems.
• Coordinate with internal teams for seamless implementation; document deployment patterns and decisions.
• Facilitate customers’ journey from proof of concept through full production adoption.

Required Skills:

• Extensive hands-on experience in data engineering, platform engineering, or systems integration within distributed environments.
• Proven track record implementing complex software platforms in customer settings.
• Proficiency with Apache Spark, Trino, Airflow, and similar data tools.
• Strong understanding of Kubernetes, containerization, and cloud/hybrid infrastructures.
• Deep knowledge of modern data architectures including data lakes, lakehouses, and curated data layers.
• Experience integrating APIs, databases, and enterprise systems.
• Excellent troubleshooting skills across applications, infrastructure, data, and security domains.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Skilled at translating customer requirements into practical, scalable solutions.
• Self-motivated and adaptable in fast-paced, high-growth environments.

Nice to Have:

• Familiarity with security, governance, and identity tools such as Apache Ranger, Keycloak.
• Experience with data transformation and integration tools like dbt, Fivetran, Airbyte.
• Contributions to open-source AI or data infrastructure projects.
• Knowledge of AI governance, policy management, and enterprise agent deployment.
• Understanding of data sovereignty, privacy, and regulatory compliance, especially within banking, insurance, or other regulated sectors.
• Background in professional services, solutions architecture, or technical consulting.
• Experience supporting customers across the UK and European Union.

Preferred Education & Experience:

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• Several years of practical experience in data platform engineering or systems integration, preferably in enterprise environments.

Other Requirements:

• Location flexible, with a preference for candidates on the U.S. East Coast or in Europe.
• Availability to support customers across different time zones, primarily aligned with U.S. Eastern Time.
• Willingness to travel within Europe when necessary to support client deployments.
• Ability to work independently in a fast-evolving, high-growth setting.

Join us as a pivotal part of transforming enterprise data and AI capabilities—delivering innovative solutions at the forefront of technology.