Enterprise Application Architect
Job Location:
New York City, NY - USA
Monthly Salary:
Not provided by the employer
Posted:
1 July 2026 (30+ days ago)
Application Deadline:
28 September 2026
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities
1. Infrastructure Strategy & Transformation
Lead enterprise-wide datacenter consolidation and modernization programs
Define and execute target-state architecture for hybrid and cloud-ready platforms
Establish transformation roadmaps across compute storage network and security domains
Drive infrastructure standardization to enable scalable and synchronized execution
2. AI/ML GenAI & HPC Platforms
Design and deploy AI/ML and GenAI infrastructure platforms (GPU clusters HPC environments)
Optimize hardware and on-prem/cloud investments for AI workloads
Partner with enterprise AI governance teams to accelerate AI adoption
3. Cost Optimization & Vendor Strategy
Drive large-scale cost optimization initiatives through vendor renegotiation and rationalization
Lead multi-vendor engagements RFPs and contract optimization
Optimize capacity planning and infrastructure utilization to reduce future spend
4. Cloud & Hybrid Enablement
Lead adoption of hybrid cloud architectures with automation and governance
Enable seamless integration across on-prem and cloud environments
Improve operational efficiency through process standardization and automation
5. Cybersecurity Risk & Compliance
Partner with InfoSec teams to ensure secure transformation aligned with regulatory requirements
Enhance security controls governance frameworks and audit readiness
Align infrastructure capabilities with enterprise security policies
6. Stakeholder & Executive Management
Engage with CIO/CTO leadership business units and regulators
Drive alignment across line of business infrastructure and engineering teams
Present strategy progress and risks to executive committees
Required Experience & Skills
20 25 years in enterprise infrastructure and technology leadership
Strong experience in banking / capital markets environments
Expertise across:
o Enterprise infrastructure (compute storage networking datacenters)
o AI/ML HPC and GenAI platforms
o Hybrid cloud and large-scale modernization programs
Proven track record in multi-billion-dollar transformation programs
Strong experience in:
o Vendor management & commercial optimization
o Budget ownership and cost transformation
o Regulatory and audit engagements
Hands-on understanding of low-latency trading infrastructure (preferred)
Leadership Competencies
Executive stakeholder engagement and influencing skills
Ability to lead large global teams and cross-functional programs
Strong balance of technical depth and business acumen
Strategic thinking with delivery-focused execution mindset
Preferred Background
Experience with top-tier institutions (e.g. global banks HPC/AI firms telecom providers)
Exposure to GPU platforms (A100/H100 class) AI infrastructure and secure compute environments
Prior consulting or transformation leadership roles
Education
Bachelors degree in Information Systems Computer Science or related field
Advanced certifications in cloud AI or infrastructure technologies (preferred)
Value Proposition
Opportunity to lead enterprise-scale modernization and AI transformation programs
Direct exposure to executive leadership and strategy decisions
High-impact role influencing technology cost and innovation agendas
Skills: Enterprise Application ArchitectEnterprise Architecture
Experience Required: 10 & Above
1. Infrastructure Strategy & Transformation
Lead enterprise-wide datacenter consolidation and modernization programs
Define and execute target-state architecture for hybrid and cloud-ready platforms
Establish transformation roadmaps across compute storage network and security domains
Drive infrastructure standardization to enable scalable and synchronized execution
2. AI/ML GenAI & HPC Platforms
Design and deploy AI/ML and GenAI infrastructure platforms (GPU clusters HPC environments)
Optimize hardware and on-prem/cloud investments for AI workloads
Partner with enterprise AI governance teams to accelerate AI adoption
3. Cost Optimization & Vendor Strategy
Drive large-scale cost optimization initiatives through vendor renegotiation and rationalization
Lead multi-vendor engagements RFPs and contract optimization
Optimize capacity planning and infrastructure utilization to reduce future spend
4. Cloud & Hybrid Enablement
Lead adoption of hybrid cloud architectures with automation and governance
Enable seamless integration across on-prem and cloud environments
Improve operational efficiency through process standardization and automation
5. Cybersecurity Risk & Compliance
Partner with InfoSec teams to ensure secure transformation aligned with regulatory requirements
Enhance security controls governance frameworks and audit readiness
Align infrastructure capabilities with enterprise security policies
6. Stakeholder & Executive Management
Engage with CIO/CTO leadership business units and regulators
Drive alignment across line of business infrastructure and engineering teams
Present strategy progress and risks to executive committees
Required Experience & Skills
20 25 years in enterprise infrastructure and technology leadership
Strong experience in banking / capital markets environments
Expertise across:
o Enterprise infrastructure (compute storage networking datacenters)
o AI/ML HPC and GenAI platforms
o Hybrid cloud and large-scale modernization programs
Proven track record in multi-billion-dollar transformation programs
Strong experience in:
o Vendor management & commercial optimization
o Budget ownership and cost transformation
o Regulatory and audit engagements
Hands-on understanding of low-latency trading infrastructure (preferred)
Leadership Competencies
Executive stakeholder engagement and influencing skills
Ability to lead large global teams and cross-functional programs
Strong balance of technical depth and business acumen
Strategic thinking with delivery-focused execution mindset
Preferred Background
Experience with top-tier institutions (e.g. global banks HPC/AI firms telecom providers)
Exposure to GPU platforms (A100/H100 class) AI infrastructure and secure compute environments
Prior consulting or transformation leadership roles
Education
Bachelors degree in Information Systems Computer Science or related field
Advanced certifications in cloud AI or infrastructure technologies (preferred)
Value Proposition
Opportunity to lead enterprise-scale modernization and AI transformation programs
Direct exposure to executive leadership and strategy decisions
High-impact role influencing technology cost and innovation agendas
Skills: Enterprise Application ArchitectEnterprise Architecture
Experience Required: 10 & Above