Senior AI Solution Architect
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Key skills for this role
About the Role
The Senior AI Solution Architect will lead the design and delivery of advanced AI-powered solutions, defining scalable architectures and guiding technical strategy. The role requires 8+ years in enterprise architecture, 5+ years in banking/fintech, and 3+ years in production-grade AI/ML systems.
Key Skills for This Role
Responsibilities
- Create and maintain comprehensive architecture blueprints, system designs, data flow models, component structures, and API specifications across multiple delivery teams
- Define, document, and defend key architectural decisions while evaluating technical constraints, risks, and long term impacts
- Lead architecture reviews with engineering teams and stakeholders to ensure consistency, scalability, and technical alignment
- Design AI and agentic system architectures, including LLM orchestration, multi agent workflows, routing strategies, memory management, and context handling
- Architect retrieval augmented generation (RAG) solutions, including vector databases, embedding pipelines, retrieval strategies, and real time data integrations
- Optimize AI systems by overseeing model selection, performance improvements, latency management, fallback strategies, and evaluation frameworks
- Design modernization strategies for complex enterprise systems, including API enablement, legacy system transformation, and event driven integrations
- Establish secure and compliant AI architectures through threat modeling, auditability, governance frameworks, and human in the loop controls
- Define cloud, DevSecOps, infrastructure, and security patterns that support scalable and cost efficient AI operations
- Collaborate with senior stakeholders, including technology leaders and enterprise architecture teams, to build confidence in proposed solutions
- Mentor technical teams and contribute to improving architectural practices, engineering quality, and innovation capabilities
Requirements
- 8+ years of hands on experience in enterprise architecture, designing and delivering large scale technology programs
- Strong knowledge of architecture patterns including microservices, event driven architectures, CQRS, saga orchestration, and distributed systems
- 5+ years of experience in banking, fintech, or financial technology architecture environments
- Deep understanding of financial platforms, payment systems, fraud prevention, AML processes, and enterprise integrations
- 3+ years of experience designing and operating production grade AI/ML or LLM based systems
- Expert understanding of RAG architectures, AI agent workflows, tool calling frameworks, and AI system evaluation approaches
- Strong experience with cloud architecture across AWS, Azure, or GCP environments
- Hands on knowledge of Kubernetes, Infrastructure as Code, Terraform/CDK, and modern DevSecOps practices
- Strong understanding of security principles including zero trust architectures, OAuth 2.0/OIDC, mTLS, identity management, and secure API design
- Excellent stakeholder management, communication, and leadership skills
Full Job Posting
Role Overview
- As a Senior AI Solution Architect, you will lead the design and delivery of advanced AI powered solutions that transform complex enterprise environments.
- You will define scalable architectures, guide technical strategy, and ensure AI systems are secure, reliable, and production ready.
- The role combines deep expertise in enterprise architecture, cloud technologies, AI platforms, and modern software engineering practices.
- You will collaborate with business leaders, engineering teams, and technical stakeholders to shape innovative digital experiences.
- Your work will focus on designing intelligent systems, agentic AI workflows, and data driven solutions that create measurable business impact.
- This is an opportunity to influence large scale transformation initiatives while working at the intersection of AI innovation, security, and enterprise technology.
Accountabilities
- Create and maintain comprehensive architecture blueprints, system designs, data flow models, component structures, and API specifications across multiple delivery teams.
- Define, document, and defend key architectural decisions while evaluating technical constraints, risks, and long term impacts.
- Lead architecture reviews with engineering teams and stakeholders to ensure consistency, scalability, and technical alignment.
- Design AI and agentic system architectures, including LLM orchestration, multi agent workflows, routing strategies, memory management, and context handling.
- Architect retrieval augmented generation (RAG) solutions, including vector databases, embedding pipelines, retrieval strategies, and real time data integrations.
- Optimize AI systems by overseeing model selection, performance improvements, latency management, fallback strategies, and evaluation frameworks.
- Design modernization strategies for complex enterprise systems, including API enablement, legacy system transformation, and event driven integrations.
- Establish secure and compliant AI architectures through threat modeling, auditability, governance frameworks, and human in the loop controls.
- Define cloud, DevSecOps, infrastructure, and security patterns that support scalable and cost efficient AI operations.
- Collaborate with senior stakeholders, including technology leaders and enterprise architecture teams, to build confidence in proposed solutions.
- Mentor technical teams and contribute to improving architectural practices, engineering quality, and innovation capabilities.
Requirements
- 8+ years of hands on experience in enterprise architecture, designing and delivering large scale technology programs.
- Strong knowledge of architecture patterns including microservices, event driven architectures, CQRS, saga orchestration, and distributed systems.
- 5+ years of experience in banking, fintech, or financial technology architecture environments.
- Deep understanding of financial platforms, payment systems, fraud prevention, AML processes, and enterprise integrations.
- 3+ years of experience designing and operating production grade AI/ML or LLM based systems.
- Expert understanding of RAG architectures, AI agent workflows, tool calling frameworks, and AI system evaluation approaches.
- Strong experience with cloud architecture across AWS, Azure, or GCP environments.
- Hands on knowledge of Kubernetes, Infrastructure as Code, Terraform/CDK, and modern DevSecOps practices.
- Strong understanding of security principles including zero trust architectures, OAuth 2.0/OIDC, mTLS, identity management, and secure API design.
- Excellent stakeholder management, communication, and leadership skills with the ability to influence technical decisions.
- Experience with AI assisted development approaches and emerging AI technologies.
- Academic background in Computer Science, Software Engineering, or a related technical discipline is a plus.
Benefits
- Competitive salary package based on skills, experience, qualifications, and location.
- Comprehensive benefits package designed to support employee well being and professional growth.
- Flexible remote work opportunities.
- Opportunity to work on innovative AI driven transformation projects with global impact.
- Exposure to advanced technologies across artificial intelligence, cloud platforms, and enterprise architecture.
- Collaborative environment focused on creativity, continuous learning, and innovation.
- Supportive culture that values diversity, inclusion, and different perspectives.
How Jobgether Works
- We use an AI powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
- Our system identifies the top fitting candidates, and this shortlist is then shared directly with the hiring company.
- The final decision and next steps (interviews, assessments) are managed by their internal team.
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