Job Description

Description

Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. The company has developed a disruptive “IP Led Transformations” vision, strategy, and business model over the past 3 years. Some of the company’s IP was recently acquired by AWS and its overall business model has taken off sharply in 2024.

Trianz is led by Sri Manchala, a former special forces officer from the Indian army and author of Crossing the Digital Faultline | Trianz, and a team of veterans from well-known firms such as Deloitte, HCL, KPMG, Wipro, Microsoft, TATA, AWS, GE, etc. 

About Trianz

Trianz believes that companies around the world face three challenges in their digital transformation journeys - shrinking ‘time to transform’ due to competition & AI, lack of digital-ready talent, and uncertain economic conditions. To help clients leapfrog over these challenges, Trianz has built IP and platforms that have transformed the adoption of the cloud, data, analytics & insights AI.

Specifically, the following Trianz platforms are changing the way companies approach transformations in various disciplines:

• Concierto: A fully automated platform to Migrate, Manage, and Maximize the multi & hybrid cloud. A zero code and SaaS platform, Concierto allows teams to migrate to AWS, Azure and GCP and manage them efficiently from a single pane of glass. Visit www.concierto.cloud for more information.
• Concierto Insights & Agentic AI: is a Data to AI SaaS platform designed to drive data-led transformation at lightning speed. Through conversational AI, organizations seamlessly engage with all their data, unlocking real-time insights, and uncovering hidden opportunities and risks—all within one powerful platform. Visit www.avriodata.ai to know more.
• Pulse: Recognizing that workforces will be distributed, mobile, and fluid, Trianz has built a ‘future of work’ digital workplace platform called Pulse. Visit www.trianz.com/Pulse

Since the market launch of this strategy in mid-2023, Trianz has experienced enormous growth, success and recognition.

• Some of Trianz’ built IP in data and analytics was acquired by Amazon. Since then, Trianz has been made an engineering partner of Amazon for building/supporting connected ecosystems across multiple AWS platforms.
• Most recently, Trianz and AWS have signed a strategic collaboration agreement within which the two companies will work on joint roadmaps/solutions for the cloud; AWS will buy Trianz | Concierto in bulk for AWS partners to use for migrations; AWS will also recommend Concierto to their MSPs and finally, AWS Professional Services and Trianz have signed an agreement for joint solutioning and customer delivery. Read more: Trianz enters into a Strategic Collaboration Agreement with AWS to Revolutionize Cloud Adoption and Management (yahoo.com)

Given all this, Trianz is experiencing a significant demand for its SW platforms and consequent growth. To support this growth, Trianz has recently raised private equity capital to scale the company over the next several years (Trianz Announces Strategic Growth Capital Investment by Capital Square Partners (prnewswire.com). It is now bolstering its senior and mid-level leadership with top talent across GTM, Engineering, Services, and Partnership organizations. We are seeking leaders driven by our purpose - to help customers accelerate digital transformations and build the next generation software and services organization.            

AI/ML Developer Lead – Core Mod AI Modernization & Delivery

Contract - 6months

Clinton, NJ

Hybrid - 3 days in a week atonsite

About the Role

We are seeking a senior AI/ML Developer Lead with 14+ years of overall software development experience to drive enterprise AI modernization initiatives under the CoreMod program. This role is hands-on and strategic, combining deep technical expertise, architectural ownership, and team leadership to accelerate delivery, close SME gaps, and modernize legacy platforms using advanced Machine Learning and Generative AI technologies.

The ideal candidate brings a strong foundation in full-stack and backend development, evolved into AI/ML and GenAI leadership, with a proven ability to design, build, and scale production-grade AI systems in regulated enterprise environments.

What You'll Be Doing:

1. AI/ML & Engineering Leadership

• Provide technical leadership across the full AI/ML solution lifecycle, from design and development to production deployment and optimization.
• Own architecture decisions for ML platforms, GenAI solutions (RAG, agentic workflows), and data pipelines supporting CoreMod modernization.
• Act as the go-to SME for AI/ML, guiding design standards, best practices, and delivery quality across teams.
• Mentor and review work of ML engineers and developers, ensuring high code quality, scalability, and reliability.

Enterprise AI Modernization

• Lead modernization of legacy decisioning and analytics systems by introducing cloud-native ML architectures and microservices.
• Design and deliver batch and real-time ML systems, including forecasting engines, risk models, and intelligent automation.
• Drive adoption of Generative AI for document intelligence, enterprise search, chatbots, and workflow automation.
• Ensure solutions meet security, compliance, and governance standards required in enterprise and financial domains.

Hands-on Development & Architecture

• Contribute directly to development using Python and backend frameworks such as FastAPI, building scalable ML APIs and services.
• Build and deploy models using PyTorch, TensorFlow, Scikit-learn, LightGBM, XGBoost, and transformer-based LLM frameworks.
• Design feature engineering and data pipelines using Spark, Snowflake, Databricks, Airflow, and cloud-native services.
• Implement containerized deployments using Docker, Kubernetes, Helm, and manage CI/CD pipelines with Jenkins and GitHub Actions.
• Establish model lifecycle practices using MLflow, Kubeflow, SageMaker, or equivalent tooling.

Cross-Functional & Stakeholder Collaboration

• Partner with product, data, platform, and business teams to translate complex business problems into scalable AI/ML solutions.
• Lead technical discussions, design reviews, and roadmap planning with internal and external stakeholders.
• Support agile delivery through technical backlog grooming, sprint planning, and estimation.

Vendor & Platform Enablement

• Evaluate, onboard, and integrate external AI platforms, LLM providers, and vendor solutions.
• Lead technical PoCs, architecture assessments, and deep dives with third-party partners.

Communication & Influence

• Clearly articulate AI/ML architectures, trade-offs, and outcomes to executive, technical, and non-technical audiences.
• Produce technical documentation, architecture diagrams, and delivery artifacts.
• Provide confident, polished communication that builds trust and alignment across the organization.

Why Join Us:

• Be part of a rapidly rising, global technology innovator whose platforms and services are engaged by Fortune 1000 companies and industry leaders such as Microsoft & Amazon.
• Immerse yourself in a culture where creativity is celebrated and encouraged.
• Engage in thrilling projects and opportunities for your professional growth.
• Contribute to our quest to redefine the industry.
• Competitive compensation and benefits with occasional ‘distinctive benefits’ that set us apart.

Who you are:

Experience Required

• 14+ years of overall software development experience, with progressive responsibility into technical leadership roles.
• 8+ years of hands-on AI/ML experience, including model development, deployment, and production operations.
• Proven experience leading enterprise-scale AI/ML or GenAI initiatives end to end.
• Strong background in financial services, banking, or regulated environments preferred.
• Prior experience within NYL or similar large enterprises is a plus.

Key Technical Skills

Core AI / ML

• Statistical modeling, hypothesis testing, regression, classification, clustering, time series forecasting, A/B testing
• Models: Random Forest, Gradient Boosting (XGBoost, LightGBM), SVM, Neural Networks (CNN, RNN, LSTM)
• Deep Learning & NLP: Transformers, BERT-based models, document parsing, semantic search

Generative AI

• Retrieval-Augmented Generation (RAG) architectures
• Vector databases (pgvector, Elasticsearch)
• Agentic AI workflows (Autogen, MCP or similar frameworks)
• Enterprise chatbots and document intelligence systems

Engineering & Platforms

• Programming: Python, Java, SQL
• Backend & APIs: FastAPI, Flask, Microservices Architecture
• Data & Pipelines: Spark, Snowflake, Databricks, Airflow
• Cloud & DevOps: AWS / GCP, Docker, Kubernetes, Helm, CI/CD (Jenkins, GitHub Actions)
• Model Ops: MLflow, Kubeflow, SageMaker

Education:

• Bachelor’s or master’s degree in computer science, Engineering, Data Science, Statistics, or related field.

Trianz is growing at a faster pace than the industry for the last five years. Read through some of the key industry recognitions we have received for our innovative execution and strategic client initiatives here.

Equal Employment Opportunity   

Trianz is an Equal Opportunity Employer and does not discriminate based on race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, special needs veteran, veteran of the Vietnam Era, or citizenship status (except in those special circumstances permitted or mandated by law). We comply with all state and federal laws and regulations protecting employees and applicants against illegal discrimination, retaliation, and harassment. Our policy is available upon request. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Trianz participates in the E-Verify program in certain locations, as required by law. We are committed to providing reasonable accommodation for all qualified individuals with a disability or other reasons protected by applicable laws. If you require assistance or accommodation due to a disability or special needs to search for a job opening or apply, please email usrecruitment@trianz.com with your request and contact information.   

Trianz Privacy Notice   

Trianz respects your privacy and wants to ensure we comply with applicable Data Privacy Regulations as per local regulator laws. Please review our privacy policy at https://www.trianz.com/privacy-statement for more.   

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