About this role
Project description
We are seeking a highly skilled AI + Cloud Engineer to design, build, and deploy enterprise-scale Generative AI solutions. This role requires deep expertise in cloud-native architectures, multi-agent orchestration, and secure production deployments.
The ideal candidate will combine strong programming skills with hands-on experience across modern AI frameworks and cloud platforms, while ensuring compliance, observability, and ethical AI practices.
Responsibilities
- Architect, develop, and deliver Generative AI solutions in enterprise-scale production environments.
- Implement agent-based architectures and orchestrate multi-agent systems for complex workflows.
- Ensure application security, observability, and reliability across all deployed solutions.
- Build and maintain full-stack applications with robust automated unit and regression testing.
- Leverage enterprise-grade DevOps practices and CI/CD pipelines for scalable AI deployments.
- Collaborate with cross-functional teams, including product, compliance, and business stakeholders, to align AI initiatives with organizational goals.
- Contribute to the development and enforcement of AI governance, compliance, and ethical frameworks, including security guardrails.
- Deliver AI-driven solutions tailored to the banking domain, with applications in fraud detection, customer personalization, and conversational AI.
Skills
-
Must have
-
Total 8-10 years of experience. 3+ years of experience in DevOps, Cloud Engineering, SRE, or Infrastructure Engineering.
-
Proven ability to deliver Gen AI solutions in enterprise production environments.
-
Strong programming skills in Python and experience with full-stack development.
-
Hands-on expertise with the following AI and cloud technologies:
-
AWS Cloud
-
EKS / ECS
-
Bedrock
-
Semantic Kernel
-
LangChain
-
LangGraph
-
HuggingFace
-
SageMaker
-
Deep understanding of foundational AI models, prompt engineering, and fine-tuning techniques.
-
Experience deploying AI solutions using enterprise-grade DevOps and CI/CD pipelines.
-
Familiarity with AI governance, compliance, and ethical AI frameworks.
-
Strong communication skills with the ability to engage and influence stakeholders at all levels.
-
Background in delivering solutions within the banking sector.
-
Exposure to fraud detection, customer personalization, or conversational AI applications.
-
Experience working in highly regulated industries with strict compliance requirements.
-
Nice to have
-
NA
-
Other
-
Languages
-
English: C2 Proficient
-
Seniority
-
Senior