Hiring Java Developer, Data Architect/SME Architect, AI Enterprise Architect
Abhinav Mohanty
Hello Everyone,
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Position: 1
Role: Java Developer
Location: New York City, NY or Jersey City, NJ (Hybrid)
Client: Morgan Stanley
Visa- Green Card / USC
· Local Only, LinkedIn with profile pic Must
· Banking or financial service domain
· In Person Interview at NYC
Job Description:
Skills Required
- Commercial experience of core Java programming with
strong proficiency
- Experience of working with a functional programming language
- Experience with Scala programming (or willingness on becoming an expert on
it)
- Fundamental knowledge of Microservices
- Strong experience with distributed caching and relational databases,
preferably with Sybase, Oracle, MSSQL
- Good Exposure to middleware- MQ, Kafka
- Experience of working in a Linux environment
- Strong analytical and problem-solving skills
- Strong oral and written communication skills
- Excellent interpersonal skills and professional approach
- Ability to work effectively in a global and dynamic team
- Understanding of distributed system design and infrastructure
Position: 2
Role: Data Architect/SME Architect (Talend, HVR)
Location - Cincinnati, OH / Atlanta, GA (Hybrid)
Client – Microland – General Electrics
Visa – USC, GC
Job Description:
Primary Skills 1 Required: Expert Level - Subject
matter expert or Thought leader with in-depth knowledge. Can lead, guide and
coach others in Talend and HVR
Primary Skill 2 Required: Expert Level - Subject matter expert or
Thought leader with in-depth knowledge. Can lead, guide and coach others in
Data Mapping Tool
Secondary Skill 1 Required: Advanced - Professional with high knowledge,
significant ability and hands-on experience. Can provide supervision to others
in AWS Cloud services
Secondary Skill 2 Required: Advanced - Professional with high knowledge,
significant ability and hands-on experience. Can provide supervision to others
in Devops CI/CD
Delivery Skills required are :
Define and lead the enterprise-wide data integration and modernization
strategy, ensuring alignment with business transformation objectives.
Oversee the architecture, design, and delivery of integration solutions using
Talend, HVR, and Starfish, ensuring scalability, resiliency, and performance.
Lead cloud adoption and hybrid data architecture using AWS services (Glue, S3,
Redshift, RDS, Lambda, Step Functions, Lake Formation, CloudWatch, IAM).
Drive data migration, replication, and CDC initiatives at global scale,
ensuring minimal downtime and strong SLAs.
Establish data governance, compliance, and security frameworks for all data
integration platforms.
Provide strategic leadership to global engineering teams, architects, and
consultants, fostering innovation and best practices.
Partner with C-level executives (CIO/CDO/CTO) and business leaders to shape
long-term data strategy and investment roadmaps.
Own the budgeting, cost optimization, and ROI measurement for cloud and
integration platforms.
Champion automation, DevOps, observability, and AI/ML-driven data operations
for improved reliability and intelligence.
Represent the organization in executive-level client engagements, industry
forums, and strategic partnerships.
Position: 3
Role: AI Enterprise Architect
Location: Denver, CO (Hybrid)
Client: Arrow Electronics
Visa: No H1b and CPT
Mode of Interview: For Local Candidates (Onsite) and for Non-Local Candidates (Remote)
Job Description:
We are partnering with a forward-thinking client to find a talented AI Architect to lead enterprise-level artificial intelligence initiatives. This individual will play a key role in designing and deploying scalable AI and GenAI solutions that align with strategic business objectives. If you’re passionate about bridging advanced technology and practical business value—this is a great opportunity.
In This Role, You Will:
· Design and implement enterprise-grade AI architecture and frameworks, including GenAI/LLM integrations.
· Evaluate and lead deployment of tools and platforms for AI/ML, NLP, computer vision, and predictive analytics.
· Ensure seamless integration of AI with enterprise systems, following data security and compliance standards.
· Collaborate with business units to define KPIs, measure ROI, and drive value from AI projects.
· Manage end-to-end AI project delivery—from scope to launch—while guiding cross-functional teams.
· Serve as the go-to liaison across AI research, data science, engineering, and business stakeholders.
Ideal Candidate Background:
· 5+ years leading AI initiatives in a technical or architectural capacity.
· Strong background in AI/ML development with a focus on GenAI and LLMs.
· Experience architecting and deploying solutions in Azure and/or AWS environments.
· Proficiency with Python (and optionally R, .NET), plus experience with data platforms like Databricks or Azure AI Studio.
· Deep knowledge of modern AI/ML frameworks, cloud-native architecture, and secure solution design.
· Familiarity with Agile methodologies and a strong understanding of AI ethics and governance.
Bonus If You Have:
· Experience with Ollama, Azure AI Foundry, or similar GenAI platforms.
· Background in enterprise-scale data architecture or product development leadership.