Overview
On Site
Full Time
Skills
LLMs
AI principles
Job Details
Job Title- Senior Solutions Architect Gen AI
Location Hybrid (Austin/Dallas/Frisco), Texas- USA
Full Time/permanent
Domain : Financial services
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 Google Cloud Platform).
- Strong grasp of security, scalability, observability, and compliance in AI systems.
- Excellent communication and stakeholder engagement skills.
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.
Thanks & Regards,
Team Lead
Mahesh Kumar
Direct No:
Yochana Solutions INC
Windsor, Ontario- Canada
Farmington hills, MI-48335- USA
USA | CANADA I Mexico | INDIA
W:
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