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Brief about Fractal
Fractal Analytics is Leading Fortune 500 companies leverage Big Data, Analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business.
Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling.
The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.
Position Summary
We are seeking an experienced Gen AI Solution Architect to design and deliver scalable, secure, and business-focused Generative AI solutions. The ideal candidate will combine deep expertise in AI/ML technologies with strong architecture, cloud, and stakeholder management skills to drive AI transformation initiatives.
Key Responsibilities
Solution Architecture & Design
- Design end-to-end Generative AI architectures using LLMs, RAG, AI Agents, vector databases, and multimodal models.
- Define scalable, secure, and cost-effective AI solution architectures.
- Create technical blueprints, architecture diagrams, and deployment strategies.
- Evaluate and recommend AI platforms, frameworks, and cloud services.
AI & LLM Engineering
- Architect solutions using models such as GPT, Claude, Gemini, Llama, Mistral, and open-source LLMs.
- Design prompt engineering, fine-tuning, and model optimization strategies.
- Build RAG pipelines using vector databases such as Pinecone, Weaviate, Chroma, or Azure AI Search.
- Implement AI agents and orchestration frameworks such as LangChain, LangGraph, CrewAI, or Semantic Kernel.
Cloud & Platform Architecture
- Design AI solutions on AWS, Azure, or Google Cloud.
- Utilize services such as Azure OpenAI, AWS Bedrock, Vertex AI, and AI Foundry.
- Architect MLOps and LLMOps pipelines for deployment, monitoring, and governance.
- Ensure high availability, scalability, and performance.
Business & Stakeholder Engagement
- Gather business requirements and translate them into technical solutions.
- Conduct client workshops, discovery sessions, and architecture reviews.
- Support pre-sales activities, RFP responses, solution demonstrations, and proposal creation.
- Present AI strategies and solution roadmaps to executives and stakeholders.
Governance, Security & Compliance
- Establish responsible AI practices and governance frameworks.
- Address model security, privacy, compliance, and risk management.
- Define monitoring, observability, and evaluation frameworks for AI systems.
- Ensure alignment with enterprise architecture standards.
Leadership & Mentorship
- Guide data scientists, ML engineers, and software development teams.
- Review solution designs and implementation approaches.
- Stay current with emerging Gen AI technologies and industry trends.
- Drive innovation and AI adoption across the organization.
Required Skills
Technical Skills
- Generative AI, LLMs, RAG, AI Agents
- Machine Learning and Deep Learning
- Python, SQL, REST APIs
- LangChain, LangGraph, LlamaIndex, CrewAI
- Vector Databases (Pinecone, Weaviate, Chroma, Milvus)
- AWS, Azure, GCP
- Docker, Kubernetes, CI/CD
- MLOps / LLMOps
- Data Architecture and Data Engineering
- AI Security and Governance
Soft Skills
- Solution design and architecture thinking
- Client-facing communication
- Stakeholder management
- Leadership and mentoring
- Problem-solving and decision-making
- Presentation and consulting skills
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 8–15+ years of software engineering, cloud architecture, or AI experience.
- 3–5+ years of experience in AI/ML solution architecture.
- Relevant certifications preferred:
- AWS Solutions Architect
- Azure AI Engineer / Azure Solutions Architect
- Google Professional Cloud Architect
- Databricks or Snowflake certifications
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- 8-15+ years of software engineering, cloud architecture, or AI experience
- 3-5+ years of experience in AI/ML solution architecture
- AWS Solutions Architect certification
- Azure AI Engineer or Azure Solutions Architect certification
- Google Professional Cloud Architect certification
- Databricks or Snowflake certification
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
