Job description

Hybrid 2 days in onsite Duration: 6+ Months Contract Job Summary: The Senior Software Engineer – Generative AI Innovation serves as a hands-on technical leader responsible for identifying, evaluating, prototyping, and delivering Generative AI solutions that create business value for Institutional Banking organization. This role combines software engineering, applied AI research, solution prototyping, and emerging technology evaluation to accelerate the adoption of AI-driven capabilities across Institutional Banking. The successful candidate will work closely with business stakeholders, technology partners, and governance teams to transform ideas into working proofs of concept, guide successful solutions through governance processes, and help transition validated solutions into production. This individual is expected to operate with a high degree of autonomy, technical curiosity, and initiative while serving as a trusted advisor on emerging AI technologies, industry developments, and practical applications of Generative AI. Essential Functions • Design, build, and deploy proof-of-concept and production-ready Generative AI solutions using modern software engineering practices and cloud-native technologies. • Evaluate, prototype, and validate emerging Generative AI capabilities, platforms, tools, and vendors to determine their applicability and value for Institutional Banking use cases. • Develop AI-enabled applications and workflows using technologies such as large language models (LLMs), Retrieval Augmented Generation (RAG), agentic AI frameworks, document intelligence solutions, workflow automation platforms, APIs, and cloud services. • Transform business ideas and opportunities into working software solutions by rapidly building prototypes, conducting technical experiments, and demonstrating viability. • Collaborate with business stakeholders across Institutional Banking to identify high-value opportunities where AI can improve productivity, decision-making, client service, operational efficiency, or risk management. • Provide technical input and supporting documentation for governance, risk, compliance, model review, and technology approval processes related to AI initiatives. • Assist project teams in preparing governance submissions and articulating technical approaches, risks, controls, and implementation considerations associated with proposed AI use cases. • Research industry trends, vendor capabilities, and emerging developments in Generative AI and communicate findings, opportunities, and recommendations to technology and business leadership. • Design and implement integrations between AI platforms, enterprise systems, and cloud services. • Establish and promote engineering standards, reusable patterns, and best practices for AI solution development. • Independently develop clean, maintainable, secure, and testable code. • Create technical documentation, reference architectures, implementation guidance, presentations, and demonstration materials to support solution adoption and knowledge sharing. • Present prototypes, findings, recommendations, and solution roadmaps to business stakeholders and senior managers. • Support production deployments, troubleshooting, and continuous improvement efforts for GenAI-enabled solutions. • Maintain awareness of evolving GenAI-related regulatory, governance, security, and risk management considerations and incorporate appropriate controls into solution designs. • Perform other duties as assigned; duties, responsibilities, and activities may change at any time with or without notice. • Complies with all policies and procedures, including without limitation, acting professionally at all times, conducting business ethically, avoiding conflicts of interest, and acting in the best interests. Education Bachelor's Degree or equivalent experience (preferred) Work Experience Required • 5+ years of professional software engineering experience developing web-based or distributed applications. • Demonstrated experience building software solutions using modern programming languages, frameworks, APIs, and cloud services. • Demonstrated hands-on experience working with Generative AI technologies, large language models, AI-enabled applications, or related emerging technologies. • Strong problem-solving skills and ability to independently navigate ambiguity and rapidly learn new technologies. • Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences. • Proven ability to take ownership of complex problems and drive solutions from concept through implementation. Preferred • Experience with cloud platforms such as Google Cloud Platform (GCP) and/or Microsoft Clienture. • Experience implementing or evaluating RAG, agentic AI workflows, document intelligence solutions, or workflow automation platforms. • Experience operating within regulated industries and partnering with governance, risk, compliance, security, or legal functions. • Experience evaluating vendor technologies and making technical recommendations to business and technology leadership. • Experience supporting proof-of-concept development, experimentation, and innovation initiatives. Core Competencies • All employees are expected to demonstrate Values and abide by Client Code of Conduct. Physical Demands General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. #LI-AS140

Requirements

Must-haves

Hybrid 2 days in onsite
Duration: 6+ Months Contract
Design, build, and deploy proof-of-concept and production-ready Generative AI solutions using modern software engineering practices and cloud-native technologies.
Evaluate, prototype, and validate emerging Generative AI capabilities, platforms, tools, and vendors to determine their applicability and value for Institutional Banking use cases.
Transform business ideas and opportunities into working software solutions by rapidly building prototypes, conducting technical experiments, and demonstrating viability.
Collaborate with business stakeholders across Institutional Banking to identify high-value opportunities where AI can improve productivity, decision-making, client service, operational efficiency, or risk management.
Provide technical input and supporting documentation for governance, risk, compliance, model review, and technology approval processes related to AI initiatives.
Assist project teams in preparing governance submissions and articulating technical approaches, risks, controls, and implementation considerations associated with proposed AI use cases.
Research industry trends, vendor capabilities, and emerging developments in Generative AI and communicate findings, opportunities, and recommendations to technology and business leadership.
Design and implement integrations between AI platforms, enterprise systems, and cloud services.
Establish and promote engineering standards, reusable patterns, and best practices for AI solution development.
Independently develop clean, maintainable, secure, and testable code.
Create technical documentation, reference architectures, implementation guidance, presentations, and demonstration materials to support solution adoption and knowledge sharing.
Present prototypes, findings, recommendations, and solution roadmaps to business stakeholders and senior managers.
Support production deployments, troubleshooting, and continuous improvement efforts for GenAI-enabled solutions.

Nice-to-haves

Bachelor's Degree or equivalent experience (preferred)
Experience with cloud platforms such as Google Cloud Platform (GCP) and/or Microsoft Clienture.
Experience implementing or evaluating RAG, agentic AI workflows, document intelligence solutions, or workflow automation platforms.
Experience operating within regulated industries and partnering with governance, risk, compliance, security, or legal functions.
Experience evaluating vendor technologies and making technical recommendations to business and technology leadership.
Experience supporting proof-of-concept development, experimentation, and innovation initiatives.
Core Competencies
All employees are expected to demonstrate Values and abide by Client Code of Conduct.
Physical Demands

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