About Intellectyx Intellectyx.ai is an AI-native innovation company helping enterprises evolve from traditional digital systems to agentic, autonomous, and data-intelligent ecosystems . Our mission is to enable organizations to operate faster, smarter, and with deeper trust — blending data observability, agentic AI, and contextual intelligence across every business layer. Role Overview The Enterprise Architect plays a pivotal role in defining and governing the technical architecture, integration patterns, and digital blueprint across Intellectyx’s platform ecosystem and client implementations. This role bridges business strategy and technology execution — ensuring solutions are scalable, secure, data-driven, and AI-ready across multi-cloud environments. You will lead architectural planning across Digital (App & API Layer) , Data (Integration & Analytics Layer) , and Agentic AI (Automation & Intelligence Layer) , enabling end-to-end alignment of technology capabilities with business outcomes. Key Responsibilities 1. Architecture Strategy & Governance Define and maintain the enterprise architecture roadmap covering applications, data, AI, and cloud infrastructure. Establish architecture principles, design standards, and reference models aligned with Intellectyx’s AI-native platform vision. Conduct architecture reviews and ensure alignment across solution, data, and infrastructure domains. Partner with leadership to translate business goals into scalable and modular technology blueprints. 2. Digital Architecture Architect and integrate large-scale digital applications built on Python (Django, FastAPI) , React , Redux , and PostgreSQL . Define API and microservices strategies for reusability and interoperability. Ensure secure, observable, and high-performing architecture in AWS and Azure environments. 3. Agentic AI & Automation Design multi-agent architectures using AgnoAI , MCP , LangChain , LangGraph , and Langfuse frameworks. Define orchestration patterns for LLM-driven automation, reasoning, and workflow execution. Establish governance around prompt templates, vector stores, and context retrieval pipelines for intelligent decision systems. 4. Data & Analytics Architecture Architect data solutions using Snowflake , Azure Synapse , Azure Data Factory , and Databricks . Enable unified data observability, lineage tracking, and semantic modeling for AI-readiness. Oversee analytics architecture integrating Tableau and Power BI for business visualization and storytelling. Collaborate with Data Science teams to operationalize ML/AI models and ensure scalability, governance, and performance. 5. Cloud & Infrastructure Architect hybrid and multi-cloud solutions leveraging AWS and Azure for compute, storage, and orchestration. Champion Infrastructure-as-Code (Terraform) and DevOps best practices. Drive cost optimization, resilience, and high availability across distributed deployments. Qualifications 10+ years of IT experience with 5+ years in architecture or technical leadership roles. Proven experience designing enterprise-scale systems , SaaS platforms, or AI/data architectures. Deep expertise in: Digital: Python, Django, FastAPI, React, Redux, PostgreSQL Agentic AI: AgnoAI, MCP, LangChain, LangGraph, Langfuse, LLM integration Data: Snowflake, Azure Synapse, Azure Data Factory, Databricks, Tableau, Power BI Cloud: AWS, Azure, Terraform, Kubernetes Strong knowledge of architecture frameworks (TOGAF, Zachman) and design principles (Domain-Driven Design, Event-Driven Architecture). Excellent communication and documentation skills for engaging both executive and technical stakeholders. Preferred Experience Experience defining enterprise reference architectures for AI-native or multi-agent platforms. Strong understanding of data governance, security, and compliance frameworks. Experience working in multi-tenant SaaS or large-scale enterprise environments. Prior involvement in technology modernization, digital transformation, or AI strategy programs. Why Intellectyx Shape the architectural foundation of an AI-native enterprise ecosystem. Work with cutting-edge technologies across Digital, Data, AI, and Cloud . Join a global innovation-driven culture with opportunities for leadership and ownership. Job Type: Full-time Pay: ₹2,515,602.20 - ₹7,552,171.06 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Work from home
About Intellectyx Intellectyx.ai is an AI-native innovation company helping enterprises evolve from traditional digital systems to agentic, autonomous, and data-intelligent ecosystems . Our mission is to enable organizations to operate faster, smarter, and with deeper trust — blending data observability, agentic AI, and contextual intelligence across every business layer. Role Overview The Enterprise Architect plays a pivotal role in defining and governing the technical architecture, integration patterns, and digital blueprint across Intellectyx’s platform ecosystem and client implementations. This role bridges business strategy and technology execution — ensuring solutions are scalable, secure, data-driven, and AI-ready across multi-cloud environments. You will lead architectural planning across Digital (App & API Layer) , Data (Integration & Analytics Layer) , and Agentic AI (Automation & Intelligence Layer) , enabling end-to-end alignment of technology capabilities with business outcomes. Key Responsibilities 1. Architecture Strategy & Governance Define and maintain the enterprise architecture roadmap covering applications, data, AI, and cloud infrastructure. Establish architecture principles, design standards, and reference models aligned with Intellectyx’s AI-native platform vision. Conduct architecture reviews and ensure alignment across solution, data, and infrastructure domains. Partner with leadership to translate business goals into scalable and modular technology blueprints. 2. Digital Architecture Architect and integrate large-scale digital applications built on Python (Django, FastAPI) , React , Redux , and PostgreSQL . Define API and microservices strategies for reusability and interoperability. Ensure secure, observable, and high-performing architecture in AWS and Azure environments. 3. Agentic AI & Automation Design multi-agent architectures using AgnoAI , MCP , LangChain , LangGraph , and Langfuse frameworks. Define orchestration patterns for LLM-driven automation, reasoning, and workflow execution. Establish governance around prompt templates, vector stores, and context retrieval pipelines for intelligent decision systems. 4. Data & Analytics Architecture Architect data solutions using Snowflake , Azure Synapse , Azure Data Factory , and Databricks . Enable unified data observability, lineage tracking, and semantic modeling for AI-readiness. Oversee analytics architecture integrating Tableau and Power BI for business visualization and storytelling. Collaborate with Data Science teams to operationalize ML/AI models and ensure scalability, governance, and performance. 5. Cloud & Infrastructure Architect hybrid and multi-cloud solutions leveraging AWS and Azure for compute, storage, and orchestration. Champion Infrastructure-as-Code (Terraform) and DevOps best practices. Drive cost optimization, resilience, and high availability across distributed deployments. Qualifications 10+ years of IT experience with 5+ years in architecture or technical leadership roles. Proven experience designing enterprise-scale systems , SaaS platforms, or AI/data architectures. Deep expertise in: Digital: Python, Django, FastAPI, React, Redux, PostgreSQL Agentic AI: AgnoAI, MCP, LangChain, LangGraph, Langfuse, LLM integration Data: Snowflake, Azure Synapse, Azure Data Factory, Databricks, Tableau, Power BI Cloud: AWS, Azure, Terraform, Kubernetes Strong knowledge of architecture frameworks (TOGAF, Zachman) and design principles (Domain-Driven Design, Event-Driven Architecture). Excellent communication and documentation skills for engaging both executive and technical stakeholders. Preferred Experience Experience defining enterprise reference architectures for AI-native or multi-agent platforms. Strong understanding of data governance, security, and compliance frameworks. Experience working in multi-tenant SaaS or large-scale enterprise environments. Prior involvement in technology modernization, digital transformation, or AI strategy programs. Why Intellectyx Shape the architectural foundation of an AI-native enterprise ecosystem. Work with cutting-edge technologies across Digital, Data, AI, and Cloud . Join a global innovation-driven culture with opportunities for leadership and ownership. Job Type: Full-time Pay: ₹2,515,602.20 - ₹7,552,171.06 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Work from home
About Intellectyx Intellectyx.ai is an AI-native innovation company that empowers enterprises to transition from conventional digital systems to autonomous, agentic, and data-intelligent ecosystems . We specialize in combining data observability , AI orchestration , and contextual intelligence to help organizations operate faster, smarter, and with greater trust. Role Overview As an AI Engineer , you will play a key role in designing, building, and deploying agentic AI systems and intelligent data pipelines across Intellectyx’s product suite and enterprise clients. You will work at the intersection of LLMs, data engineering, and cloud architecture , developing adaptive AI workflows that integrate seamlessly into digital and data platforms. This role requires a blend of strong software engineering, data science, and system integration skills — ideal for someone who thrives in building next-generation AI-native solutions that are explainable, scalable, and autonomous. Key Responsibilities1. AI Development & Integration Develop and operationalize LLM- and agent-based systems using AgnoAI , MCP , LangChain , LangGraph , and Langfuse . Implement reasoning chains, memory modules, and contextual orchestration for autonomous agents. Integrate AI pipelines into existing FastAPI / Django applications and PostgreSQL / Snowflake data backends. 2. Data Engineering & Processing Build and optimize data ingestion and transformation pipelines using Databricks , Azure Data Factory , and Snowflake . Enable real-time data availability for AI agents and models through semantic and vector-based retrieval. Collaborate with data scientists to train, deploy, and monitor ML/LLM models at scale. 3. Agentic Architecture Implementation Contribute to multi-agent frameworks that enable autonomous workflows across digital, data, and business processes. Implement AI governance mechanisms , including prompt management, context versioning, and safe execution boundaries. Build APIs for inter-agent communication, feedback loops, and observability tracking. 4. Cloud & DevOps Deploy AI services in AWS and Azure environments using containerized and serverless approaches. Implement observability tools for monitoring agent performance, cost, and latency. Work with DevOps teams on CI/CD pipelines , MLOps , and model lifecycle management. 5. Visualization & Decision Support Collaborate with teams using Tableau and Power BI to operationalize AI-driven insights for business consumption. Enable human-in-the-loop workflows and dashboards for monitoring AI behavior and data quality. Qualifications 3–7 years of experience in AI, ML, or software engineering roles. Strong programming background in Python (FastAPI, Django, LangChain ecosystem). Hands-on experience with: Agentic AI: AgnoAI, MCP, LangChain, LangGraph, Langfuse, OpenAI APIs, vector databases Data: Snowflake, Databricks, Azure Synapse, Azure Data Factory Cloud: AWS, Azure, Terraform, Docker, Kubernetes Visualization: Tableau, Power BI Proficiency with LLMs , prompt engineering , and embedding-based retrieval (e.g., FAISS, pgvector). Experience with model evaluation, observability, and performance optimization. Familiarity with Git , CI/CD pipelines , and API-based system design . Preferred Experience Prior experience in building agent-based or multi-agent orchestration systems . Exposure to LangGraph or AgnoAI orchestration pipelines for agent collaboration. Contributions to open-source AI or MLOps projects. Soft Skills Excellent problem-solving, critical thinking, and analytical skills. Strong communication and collaboration abilities within cross-functional teams. Curiosity-driven mindset with a passion for experimentation and learning. Why Intellectyx Be part of an AI-native engineering culture that’s pioneering agentic intelligence for enterprise ecosystems. Work on global-scale projects integrating Digital, Data, AI, and Cloud architectures. Competitive compensation, global exposure, and opportunities to lead innovation initiatives. Job Type: Full-time Pay: ₹15,399.01 - ₹60,067.73 per month
We are seeking a Senior Software Engineer to drive the design and evolution of our next-generation platform at the intersection of data architecture, full-stack engineering, and AI agentic systems . This role will be pivotal in shaping a scalable, secure, and intelligent architecture that powers cutting-edge data and AI solutions for enterprise clients. You will act as both a technical visionary and a hands-on leader , guiding engineering teams across data pipelines, distributed services, modern web stacks, and AI/LLM-driven agent frameworks . Key Responsibilities Architectural Leadership Define and evolve the overall data and application architecture , ensuring scalability, performance, and security. Lead decisions on system design, APIs, integration patterns, and infrastructure strategy (cloud-native, containerized, multi-tenant SaaS). Champion architectural best practices (microservices, event-driven design, observability, shift-left testing). Data Architecture & Engineering Design data models, pipelines, and repositories leveraging PostgreSQL, distributed data systems, and semantic/metadata layers. Full-Stack Engineering Provide hands-on leadership in Python, FastAPI, React, PostgreSQL stacks. Guide front-end and back-end teams in building performant, intuitive, and modular applications. Define coding standards, CI/CD workflows, and testing frameworks. AI/Agentic Systems Architect solutions using LangGraph, LangChain, and LLMs to build autonomous, context-aware agents. Collaborate with data science teams to integrate ML/AI capabilities into workflows. Establish guardrails, governance, and monitoring for safe AI adoption. Cross-Functional Collaboration Partner with product managers, engineers, and executives to align architecture with business strategy. Mentor engineering teams and foster a culture of innovation, agility, and technical excellence. Represent architecture decisions to clients, partners, and analysts. Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or related field. 10+ years in software engineering, with 4+ years in architectural leadership roles. Strong foundation in data architecture : schema design, distributed databases, data pipelines, and governance. Proven track record in full-stack development : Python, FastAPI, React, PostgreSQL. Hands-on experience with AI/LLM stacks (LangChain, LangGraph, vector databases, embeddings). Solid understanding of cloud platforms (AWS/Azure/GCP), containerization (Docker, Kubernetes), and SaaS multi-tenancy. Strategic thinker with the ability to translate business vision into scalable technology. Excellent communicator able to bridge executives, clients, and engineers. Strong leadership, mentoring, and decision-making abilities. What We Offer Opportunity to define and lead the next-generation AI-native data platform . A collaborative, innovative environment where autonomy and ownership are valued. Competitive compensation, benefits, and growth opportunities. Job Type: Full-time Pay: ₹2,667,159.72 - ₹4,560,276.25 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Work from home
About Intellectyx Intellectyx.ai is an AI-native innovation company helping enterprises evolve from traditional digital ecosystems to autonomous, agentic, and data-intelligent platforms . We combine advanced data observability , AI orchestration , and contextual intelligence to power smarter, faster, and more trusted decision-making across organizations. We are now seeking a Growth Marketing Lead to accelerate our brand visibility, pipeline velocity, and go-to-market expansion across global markets. Role Overview The Growth Marketing Lead will own the end-to-end growth strategy , from awareness to acquisition to retention — driving measurable impact across pipeline generation, demand acceleration, and brand differentiation . This is a high-impact role at the intersection of marketing, analytics, and revenue operations , ideal for a data-driven marketer passionate about scaling AI and B2B SaaS businesses. You’ll lead growth campaigns, performance marketing, content strategy, and community engagement that position Intellectyx.ai as a thought leader in AI-native, agentic, and data observability ecosystems . Key Responsibilities1. Growth Strategy & Execution Develop and execute an integrated growth marketing strategy that spans paid, organic, and partnership channels. Drive full-funnel campaigns from brand awareness to conversion across digital platforms (LinkedIn, Google, YouTube, Meta). Define and manage marketing OKRs focused on MQL → SQL → Pipeline acceleration. Collaborate with Sales and Product teams to align campaigns with revenue and product adoption goals . 2. Demand Generation & Performance Marketing Lead demand generation initiatives using ABM, retargeting, and content-driven nurture sequences . Build and manage digital acquisition programs using Google Ads, LinkedIn Ads, and intent-based platforms . Optimize campaign performance through continuous A/B testing, data analysis, and conversion rate optimization . Partner with RevOps to ensure CRM and marketing automation systems (HubSpot, Salesforce, or Marketo) deliver accurate attribution and insights. 3. Brand, Positioning & Content Leadership Shape and elevate the Intellectyx.ai brand voice across digital, social, and partner ecosystems. Drive the creation of high-impact thought leadership content — whitepapers, case studies, videos, and webinars — in partnership with Product Marketing and Design. Leverage AI tools for automated campaign insights, dynamic content generation, and predictive targeting. Support PR, analyst relations, and speaking engagements to strengthen the company’s position in the AI-native and observability markets . 4. Analytics, Insights & Experimentation Define and monitor key growth metrics (CAC, LTV, MQL quality, campaign ROI). Use Google Analytics, HubSpot, and AI-driven dashboards for performance tracking and reporting. Build growth experiments using data science and generative AI insights to predict campaign impact. Own regular reporting on marketing performance, pipeline health, and ROI to leadership. 5. Leadership & Collaboration Manage cross-functional collaboration with Sales, Product, and Engineering to align growth initiatives. Mentor a team of digital marketers, content strategists, and data analysts. Represent the marketing function in strategic planning and GTM leadership discussions. Qualifications 8+ years of experience in B2B or SaaS marketing, with at least 3+ years in a growth or performance marketing leadership role. Proven track record of scaling pipeline and revenue growth in a high-tech or AI company. Strong understanding of multi-channel demand generation , digital acquisition , and data-driven marketing . Expertise in: Platforms: Google Ads, LinkedIn Ads, HubSpot, Salesforce, Marketo Analytics: Google Analytics, Tableau, Power BI, Looker Studio AI Tools: ChatGPT, Jasper, Copy.ai, HubSpot AI, or custom LLM-based insights Channels: SEO, SEM, Paid Social, ABM, Email Automation Excellent storytelling, analytical thinking, and communication skills. Preferred Experience Experience marketing AI-native, data, or observability platforms . Familiarity with enterprise SaaS go-to-market motions and long-cycle B2B sales funnels. Background in content marketing, partner co-marketing, and thought leadership initiatives. Hands-on use of AI-assisted marketing orchestration tools and growth analytics dashboards. Soft Skills Entrepreneurial mindset with a bias for experimentation and iteration. Strategic thinker who thrives in ambiguity and fast-paced environments. Strong collaboration, leadership, and communication skills across global teams. Why Intellectyx Be part of a pioneering company shaping the AI-native enterprise era . Work with leadership across Digital, Data, AI, and Cloud domains. Competitive salary, performance bonuses, stock options, and global exposure. Opportunity to define how AI and human creativity combine to drive business growth. Job Types: Full-time, Permanent Pay: ₹200,830.62 - ₹400,348.98 per month