Job Title: Senior Gen AI Solutions Architect
Location: Austin/Dallas/Frisco TX - Hybrid
Mode of Hire: Full Time
Domain : Financial services
- We are seeking a Senior Generative AI Solutions Architect with to lead the design and delivery of cutting-edge GenAI-driven solutions. This role is technology-agnostic and strategically focused requiring a blend of deep AI expertise domain knowledge across different business verticals like finance healthcare manufacturing etc and strong stakeholder management skills.
- You will be responsible for structuring GenAI use cases engaging with customers and internal teams and orchestrating work across third-party technology partners all while ensuring the secure ethical and regulatory-compliant deployment of AI capabilities across the financial domain.
Key Responsibilities
Solution Architecture & Innovation
- Design end-to-end AI system architectures that integrate GenAI and Agentic capabilities into enterprise platforms.
- Build solutions around IT infrastructure for both On-premise Data center and public cloud. Ability to think out of the box and build innovative Gen AI and Agentic AI solutions for large enterprise customers.
- Have the ability to understand Gen AI and Agentic AI requirements across different functional domains such as Financial services Health care Manufacturing Automotive Energy & utilities etc
- Evaluate and implement agent-based orchestration frameworks (e.g. CrewAI AutoGen LangGraph).
- Lead the development of Retrieval-Augmented Generation (RAG) pipelines and hybrid inferencing strategies.
- Serve as a technical advisor for responsible AI model governance and system explainability.
- Collaborate with data scientists and MLOps teams on model training fine-tuning and deployment pipelines.
- Conduct architecture reviews and provide thought leadership on GenAI evolution multi-agent design patterns and emerging tools.
- Present architectural visions and demo solutions to both technical and non-technical stakeholders who are internal to HCLTech as well as customers.
- Select the right GenAI technologies (open-source proprietary cloud or hybrid) to meet client goals without being tied to a specific vendor stack.
- Lead solution blueprinting technical feasibility assessments and roadmapping.
Customer & Executive Engagement
- Act as the primary GenAI thought leader in strategic client engagements.
- Conduct discovery sessions co-creation workshops and presentations to business and IT stakeholders (including C-suite).
- Translate complex AI capabilities into actionable business outcomes ROI estimates and transformation roadmaps.
- Have the ability to engage deeply with customer on Gen AI and Agentic AI solution articulation and convince the customer
- Ability to garner customer confidence and attention and be acknowledged as a strong technical SME on Gen AI and Agentic AI
Security Risk Compliance & Responsible AI
- Strong advocacy in Responsible AI principles and experience building solutions and platforms compliant to Responsible AI principles
- Experience and knowledge of key risk compliance and security procedures for Gen AI and Agentic AI solutions across multiple customers
- Thorough knowledge and significant experience around Governance of Gen AI and Agentic AI solutions
- Strong experience in building Guard rails for solutions and platforms on Gen AI and Agentic AI.
Knowledge Development & Enablement
- Create reusable playbooks frameworks and GenAI solution kits specific to financial services.
- Mentor internal teams and conduct enablement sessions for business and technical stakeholders.
- Stay at the forefront of GenAI advancements finance industry regulations and AI risk trends.
Required Qualifications
- 15 years in enterprise technology consulting or solution architecture roles with 3 years hands-on experience in GenAI or LLM-based solution design.
- Proven experience designing AI solutions for banks asset managers insurers or fintechs.
- Deep expertise with LLMs (e.g. OpenAI Mistral Claude LLaMA) embeddings and vector DBs (e.g. FAISS Pinecone).
- Expertise across a wide spectrum of GenAI technologies (e.g. OpenAI Google Gemini Anthropic Meta Llama Hugging Face).
- Strong communication skills with demonstrated experience engaging senior-level stakeholders in both business and technology.
- Hands-on experience with GenAI tools (LangChain LlamaIndex Transformers) and Agentic frameworks (AutoGen CrewAI AutoGPT etc.).
- Solid command of Python and cloud platforms (Azure AWS or GCP).
- Strong grasp of security scalability observability and compliance in AI systems.
- Excellent communication and stakeholder engagement skills.