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KTek Resourcing · 1 day ago

Lead Artificial Intelligence Engineer

New York, NY

Full-time

Onsite

Senior Level, Lead/Staff

4+ years exp

KTek Resourcing is seeking a Lead Artificial Intelligence Engineer to build and demonstrate AI-powered solutions for financial applications. The role involves translating complex AI concepts into actionable business value, leading workshops, and ensuring all AI solutions meet strict regulatory and ethical standards within the financial domain.

Health CareHuman ResourcesMedicalStaffing Agency

H1B Sponsor Likely

Hiring Manager

Riyanshu Tiwari

Responsibilities

Build and demonstrate AI-powered solutions for financial applications preferably in investment banking, Trading or insurance environments

Translate complex AI concepts into actionable business value for both technical and non-technical stakeholders, simplifying information for internal teams and executive leadership

Lead workshops, seminars, and training sessions for teams across the organization, promoting AI Ability and /or experience in authoring technical blogs, white papers, and internal documentation that explain the impact and possibilities of AI in the financial domain

Experience on working on advisory capacity to CxO, Head of Engineering, Head of Architecture on technical strategies

Act as a visible presence at industry conferences, webinars, and external forums to position the organization as a leader in responsible AI use within finance

Partner with compliance, risk, and IT teams to ensure all AI solutions meet strict regulatory and ethical standards prevalent in financial services

Prototype, test, and deploy AI models that address market forecasting, customer insights, automated underwriting, or anti-money laundering strategies

Build, deploy, and manage both agentic AI architectures and generative code systems, ensuring scalable and secure integration of technologies like LLMs, code generators, and automation agents within production workflows

Oversee technical design, implementation, and code reviews—especially for code created or assisted by AI tools—maintaining high standards of security, performance, and maintainability in Python and other programming languages

Develop robust testing and validation protocols for AI-generated code and agent behavior, including prompt engineering, debugging, and post-deployment monitoring for unusual failure patterns or compliance issues

Lead technical teams, mentor junior engineers, and set excellence in software engineering practices; create documentation and establish guidelines for both human and AI-driven contributions

Collaborate with cross-functional stakeholders (DevOps, security, product, and business leaders) to ensure rapid, safe adoption of agentic and generative AI features

Qualification

Advanced Python expertiseAI/ML frameworksTechnical leadershipJavaC++SQLAI ethicsTypescriptNode.jsStakeholder engagementCommunication skills

Required

Advanced Python expertise, plus experience with other major backend languages (e.g., Java, C++, Go) and modern AI/ML toolkits

Demonstrated proficiency in designing, validating, and launching code-generation systems and agentic workflows, strong familiarity with prompt engineering and AI model deployment

Track record of hands-on technical leadership within agile teams, overseeing both human and AI-generated codebases and ensuring auditability, explainability, and compliance at scale

Expertise in code review, automated testing, and documentation standards for mixed human/AI development environments