AI Architect
AI Architect
Posted on :
20-08-2025
Employer Active
1 Vacancy
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Job Description
This role will operate in both capacities to augment existing AI roadmap as well as innovate and trailblazing new frontier tech projects crafting AI experiences that reduce time to insights and catalyze decision is a team sport and in your role you will be key in leading and influencing teams on the translation of business problems and questions into GenAI this role you will:- Architect the core GenAI orchestration platform including routing logic agent specialization fallback handling and metadata logging.- Design modular APIs SDKs and microservices to integrate LLMs retrieval-augmented generation (RAG) traditional ML models and data pipelines.- Drive interoperability with existing ML systems (e.g. forecasting attribution anomaly detection) and support downstream apps like dashboards web tools and chat interfaces.- Partner closely with data science engineering and sales ops to embed context-aware intelligence in decision-making tools.- Lead technical decision-making on infrastructure components embedding safety mechanisms (e.g. autonomy sliders grounding checks model monitoring).- Build scalable pipelines for multi-modal agent input memory and semantic routing.- Contribute to hiring and mentoring a cross-functional team of engineers and scientists.- Collaborate closely with business teams to incorporate AI into their weekly cadences.
- 8 years of experience in data and AI-related fields such as software architecture or AI engineering software development data science data analysis or data lead roles with experience across both traditional ML systems and GenAI LLMs.
- Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Ability to lead the development of AI projects from start to finish.
- Comfort with ambiguity. Ability to architect a full orchestrator and business context layer for sales.
- Applied knowledge of GenAI and RAG strategies microservices MCP A2E recommendation systems and prompt engineering.
- Deep knowledge of LLM ecosystems (OpenAI Anthropic Gemini etc.) RAG pipelines vector databases (e.g. Pinecone FAISS Milvus PostgreSQL).
- Proficiency in SQL and experience with at least one major data analytics platform such as Hadoop Spark or Snowflake.
- Experience with API management orchestration layers (e.g. LangChain Semantic Kernel Haystack) and prompt engineering best practices.
- Proficiency in programming languages tools and frameworks like Python Git Notebooks Dataiku and Streamlit.
- Familiarity with telemetry and evaluation frameworks for AI agents.
- Experience working with data science teams on insights generation leveraging LLMs.
- Knowledge of project management productivity and design tools such as Wrike and Sketch.
- Strong time management skills with the ability to collaborate across multiple teams.
- Proven experience designing scalable cloud-native platforms (e.g. AWS GCP or on-prem hybrid).
- Able to balance competing priorities long-term projects and ad hoc requirements.
- Ability to work in a fast-paced dynamic constantly evolving business environment.
- B.S Degree in Computer Science/Engineering or equivalent work experience.
- Strong experience articulating and translating business questions into AI solutions.
- Ability to communicate results and insights effectively to partners and senior leaders as well as both technical and non-technical audiences.
- Experience with anomaly detection and causal inference models.
- Sound communication skills - adept at messaging domain and technical content at a level appropriate for the audience. Strong ability to gain trust with customers and senior leadership.
- Proven experience working with LLMs and GenAI frameworks (LangChain LlamaIndex etc.).
- Familiarity with embedding retrieval algorithms agents and data modeling for vector development graphs.
- Proficiency with complementary technologies for distributed systems architecture and asynchronous messaging agent communication and catching like RabbitMQ Redis and Valkey are preferred.
- Advanced Degree (MS or Ph.D.) in Economics Electrical Engineering Statistics Data Science or a similar quantitative field are preferred.
Employment Type
Full-Time
Key Skills
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