Hello There,
My name is Amit Kumar , and I serve as the Sr. Technical Recruiter at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of " Principal GenAI Consultant" with our esteemed client. If you are interested then please share your updated resume at Amitkumar@kanakits.com .
Job Title : Principal GenAI Consultant
Location : 100% Remote
Contract Length : 6 Months to start, with strong potential for extension
Preference for candidates in the Dallas area who can occasionally come into the office
Roles Expected :
- Principal GenAI Consultant
Client-facing
Must have excellent communication skillsLead GenAI Engineers (x2)Strong technical depth in GenAI, Azure, Databricks, and telecom / FSI use cases
The job description and tech stack are attached above for reference.
Principal Consultant Sr GenAI Engineer
We are seeking a Principal Consultant with deep technical expertise in Azure, Databricks, and GenAI systems to drive cutting-edge transformation across our clients' most critical platforms.
You will shape enterprise AI and cloud strategy, lead high-stakes technical engagements, and build modern, scalable solutions leveraging advanced GenAI, MLOps, and cloud engineering practices. Your ability to influence, build trust, and deliver results will be critical to success in this role.
Responsibilities
AI Model Development & Implementation
Design, develop, and deploy generative AI and machine learning models to solve complex use cases in Telco markets , including risk modeling, compliance automation, trade intelligence, and customer interaction.Build and maintain prompt generation workflows tailored to financial data, regulatory language, and high-value capital markets scenarios.Deliver scalable, production-grade AI / ML solutions using repeatable, automated pipelines on secure, compliant infrastructure.Integrate AI models with structured financial databases, trading systems, and real-time data pipelines.System Architecture & Performance Optimization
Lead the design of enterprise-grade AI architectures that meet FSI-specific requirements for security, data lineage, auditability, and performance.Optimize model performance in latency-sensitive environments such as trading desks or client service platforms.Drive model evaluation and selection using risk-aware metrics aligned with regulatory and performance objectives.Implement compliance-ready model validation frameworks including audit checkpoints and explainability layers.Agentic AI & Workflow Orchestration
Design and orchestrate agentic pipelines to support use cases like portfolio analysis, real-time alerts, and automated report generation.Enable retrieval-augmented generation (RAG) architectures that dynamically reference financial documents, regulatory filings, or internal investment data.Implement verification loops and alignment techniques to ensure safe and accurate agent outputs.Research & Innovation
Stay at the forefront of GenAI innovation in capital markets, particularly in areas such as algorithmic trading insights, ESG analysis, and customer 360 modeling.Research and apply NLP techniques to extract structured insights from unstructured financial reports, earnings calls, and filings.Champion the use of GenAI to automate compliance workflows and reduce manual effort across financial operations.Collaboration & Integration
Partner with product, data, compliance, and engineering teams to align AI solutions with financial goals and regulatory expectations.Work alongside data scientists and platform engineers to refine AI models and embed them in platforms such as CRMs, trading portals, or analytics dashboards.Lead integration of AI capabilities into enterprise platforms like Databricks, Azure ML, and Microsoft PowerApps.Documentation & Reporting
Document architecture, model lifecycle, and system decisions in a way that supports internal risk, audit, and compliance reviews.Present findings, POCs, and results to business stakeholders, quants, and governance teams with clarity and precision.Requirements and Skills
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.Additional credentials in finance, capital markets, or quantitative disciplines are a plus.Technical Skills
8+ years of Databricks experience and 10+ years on Azure , with hands-on delivery in regulated industries.Deep expertise in Python , SQL , and data modeling for structured, time-series, and transactional financial data.Proficient with OpenAI , LangChain , LangGraph , and RAG to architect scalable GenAI pipelines.Familiar with agentic AI frameworks , autonomous orchestration, and safe AI design.Skilled in system architecture across APIs, databases, and AI services tailored to FSI needs.Strong grasp of MLOps practices including model approval workflows, monitoring, and rollback mechanisms.Industry Experience
Proven track record of building AI solutions in financial services , banking , or capital markets domains.Experience with regulatory constraints, auditability, and explainability requirements in AI systems.Use-case knowledge in areas such as AML / KYC, client onboarding, investment research, regulatory compliance, and trade support.Preferred Experience
Familiarity with LLMs such as GPT, LLama, Claude, or Gemini in financial services scenarios.Exposure to financial NLP (e.g., earnings calls, 10-Ks), financial graphs, and transaction analysis.Understanding of cloud security models and data governance in FSI environments.Soft Skills
Excellent verbal and written communication skills, especially when working with non-technical financial stakeholders.Collaborative, proactive, and able to navigate cross-functional teams with finance, risk, and tech stakeholders.Passion for driving innovation in highly regulated, data-sensitive environments.