Solution Architect Industrial Agents
Solution Architect Industrial Agents
Posted on :
07-04-2025
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1 Vacancy
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Job Description
About Cognite
Embark on a transformative journey with Cognite a global SaaS forerunner in leveraging data to unravel complex business challenges through our cuttingedge Cognite Data Fusion (CDF) platform. We were awarded the2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digitalization we stand at the forefront reshaping the future of Oil & Gas Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity and together we forge the path to a smarter more connected industrial future.
Learn more about Cognite here
Our values
Impact: Cogniters strive to make an impact in all that they do. We are resultoriented always asking ourselves.
Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good fostering inclusivity and sharing responsibilities for challenges and success.
Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless) facing challenges headon and viewing setbacks as opportunities for growth.
Agent framework architecture and development
The Industry Innovation and Solutions Team enriches and augments Cognite products and platforms by developing pathways to product through the creation of innovative solutions repeatable templates and frameworks. The team comprises crossfunctional and crosstechnology experts responsible for delivering advanced domain and technology advisory services that drive the success of customer engagements. This team plays a pivotal role in landing initial offerings and integrating Cognite Products with tailored services ensuring that our solutions meet the evolving needs of our clients and driving customer success. The team maintains a keen awareness of the competitive and partnering ecosystem providing strategic insights that address key business and technical challenges our customers face. The team is deeply involved in programs to improve operational efficiency repeatability and scalability.
We are seeking a highly skilled and innovative Solutions Architect with expertise in Generative AI and associated technologies to join our team in Bangalore. In this role you will be responsible with a strong emphasis on designing developing and implementing cuttingedge generative AI solutions that drive business innovation and enhance customer experiences for creating a cuttingedge multiagent frameworkbased solution built on top of our Cognite Data Fusion and Cognite Atlas AI and additional ecosystem advanced AI technologies. This role will enable our clients to deploy intelligent agents that can autonomously interact with manage and optimise complex industrial processes by leveraging the power of knowledge graphs AI and evolutionary algorithms. The ideal candidate will have deep expertise in AI agents multiagent systems and a wide range of generative AI technologies and frameworks.
As a Solutions Architect you will collaborate closely with crossfunctional teams to understand business requirements translate them into technical specifications and architect scalable AI solutions that integrate seamlessly with existing systems. You will collaborate with Product Global Customer Success and Sales to drive the development of AI frameworks and tools focusing on generative AI AI agents and the latest AI technologies. Additionally you will provide technical leadership mentor software engineers and stay ahead of the latest trends in AI to ensure our solutions remain at the forefront of the industry. Your contributions will be critical in developing AI agents that can autonomously execute tasks adapt to changing environments and interact effectively with users and other systems leveraging the latest advancements in AI & generative AI.
A typical day as a Cogniter will contain the following tasks & responsibilities
- As a Solutions Architect you will be an expert in how we implement our Cognite SaaS offerings and applications and ensuring that the data is efficiently modeled and contextualized in Cognite Data Fusion (E.g graph and relational)
- Integrations are well thought out and robust Important quality criteria for the solution are met (E.g. CI/CD logging security)
- Operational responsibility and support agreements for the delivered solution are clearly defined
- Design overall technical solution and ensure technical fit within the customer ecosystem and target architecture
- Design integration and data model using Cognite data connectors Cognite platform components SQL Python/Java and Rest APIs
- Advisor to our customers and partners on Cognite Data Fusion Cognite Atlas AI and Cognite products solutions and platforms
- Design develop and implement generative AI solutions with a strong focus on AI agents multiagent systems and the latest generative AI technologies to drive business innovation and enhance customer experiences.
- Collaborate with crossfunctional teams to understand business requirements and translate them into technical specifications for generative AI solutions.
- Architect scalable AI solutions including AI agents that integrate seamlessly with existing systems and leverage cuttingedge technologies.
- Drive development of AI frameworks and tools with a particular emphasis on generative AI AI agents natural language processing (NLP) agent orchestration and reinforcement learning.
- Provide technical leadership and mentorship to software engineers with a focus on developing skills in generative AI AI agents and advanced AI technologies.
- Stay ahead of the latest trends and advancements in AI particularly in generative AI AI agents and associated technologies to ensure our solutions remain cuttingedge and industryleading.
- Develop and deploy AI agents capable of autonomous task environment adaptation and effective interaction with users and systems utilizing the latest generative AI frameworks and models.
- Collaborate with Global Delivery on customer engagements to demonstrate the value and feasibility of AIdriven solutions particularly those involving AI agents generative AI technologies and advanced AI methodologies.
- Vector Database Proficiency: Knowledge of vector databases like Pinecone Milvus Weaviate or Faiss including their architecture and use cases.
- Vector Embedding Creation: Experience in generating vector embeddings from textual visual or other data using common industry models.
- Skills in creating managing and optimizing indexes for efficient similarity search within vector databases including knowledge of ANN search algorithms.
- Data Ingestion and Querying: Proficiency in ingesting large datasets into vector databases and writing optimized queries for complex similarity searches.
- Scaling and Performance Tuning: Ability to scale vector databases to handle large datasets and optimize search performance through resource management and index tuning.
- Document Retrieval and Prompt Engineering: Skills in designing effective document retrieval strategies and crafting prompts that leverage retrieved documents in the generation process.
- Data Pipeline and Deployment: Expertise in managing data pipelines for RAG systems from ingestion to retrieval and generation and deploying RAG systems at scale.
- CrossSkills in Embedding and Security: Proficiency in generating and transforming embeddings for both retrieval and generation tasks with a focus on security compliance and API integration
We believe most of these should match your experience
- 10 years of experience in software engineering with a focus of at least 5 years in AI and 2 years on Generative AI machine learning or intelligent systems.
- Proven experience in developing and deploying multiagent systems preferably using frameworks like LangChain. (Mandatory experience)
- Experience with knowledge graphs graph databases or related technologies (e.g. Neo4j RDF SPARQL).
- RAG Architecture Understanding: Indepth knowledge of RetrievalAugmented Generation (RAG) systems integrating retrieval with generative models to produce informed responses.
- Model Integration and FineTuning: Experience in integrating and finetuning pretrained models with retrieval systems in RAG pipelines for enhanced performance
- Proficiency in Python JavaScript or other relevant programming languages.
- Deep understanding of multiagent frameworks including agent communication decisionmaking and learning strategies.
- Strong background in knowledge of graph technologies and their applications.
- Experience in Time Series Analysis involving detecting trends and patterns forecasting future values using models like ARIMA SARIMA Prophet and LSTMs and identifying anomalies or outliers in time series data.
- Experience in optimizing the performance of AI agents in realtime highload environments including the use of reinforcement learning and other adaptive techniques.
- Familiarity with cloud platforms (e.g. AWS Azure) and containerization technologies (e.g. Docker Kubernetes).
- Experience with API development and integration.
- Strong problemsolving skills and the ability to think critically about complex systems.
- Excellent communication skills with the ability to explain technical concepts to both technical and nontechnical stakeholders.
- Ability to work in a fastpaced collaborative environment and manage multiple priorities.
- Experience in the industrial sector or with industrial data. (Not mandatory)
- Knowledge of big data technologies (e.g. Hadoop Spark) and realtime processing frameworks.
- Data Handling and Storage: Proficiency in reading and writing data in various formats (CSV JSON SQL) and using storage tools like SQLite and SQL databases.
- Feature Engineering and Dimensionality Reduction: Expertise in creating new features to enhance model performance and using techniques like PCA and tSNE to reduce feature dimensionality while retaining key information.
- Expertise with Model Interpretability by using Tools and frameworks like SHAP (SHapley Additive exPlanations) LIME (Local Interpretable Modelagnostic Explanations) and feature importance to understand model predictions.
Join the global Cognite community!
Join an organization of 70 different nationalities with Diversity Equality and Inclusion (DEI) in focus
ITPL office location (Bengaluru)
A highly modern and fun working environment with sublime culture across the organization follow us on Instagram @cognitedata to know more
Flat structure with direct access to decisionmakers with minimal amount of bureaucracy
Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere across industries
Join our HUB to be part of the conversation directly with Cogniters and our partners.
Hybrid work environment globally
Why choose Cognite
Join us in making a real and lasting impact in one of the most exciting and fastestgrowing new software companies in the world. We have repeatedly demonstrated that digital transformation when anchored on strong DataOps drives business value and sustainabilityfor clients and allows frontline workers as well as domain experts to make better decisions every single day. We were recognized as one of CNBCs top global enterprise technology startups powering digital transformation! And just recently Frost & Sullivan named Cognite a Technology Innovation Leader! Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins
Apply today!
If youre excited about the opportunity to work at Cognite and make a difference in the tech industry we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
Key Skills
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