6sense: Principal AI Architect, Agentic Platform — Bengaluru, Karnataka, India

About 6sense

6sense provides a revenue-intelligence platform for business-to-business marketing and sales. It analyses buyer signals to identify in-market accounts and prioritise targeting for account-based campaigns, with related tools for intent data, pipeline management and advertising. The approach links marketing and sales activity to account-level buying signals rather than individual leads, and its employer feed lists sales, engineering and data roles supporting this platform.

The position and its setting

6sense lists Principal AI Architect, Agentic Platform in Bengaluru, Karnataka, India, under reference 5636812. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering
• Employer listing date: 20 March 2024

Responsibilities and work described

• A Principal AI Architect, Agentic Platform to define the technical foundation for 6sense's next generation of agentic AI
• This is the most senior AI individual contributor role in Engineering
• Establishment: the architecture, design patterns, runtime standards, evaluation practices, security controls, and governance mechanisms that enable teams across 6sense to build and operate production-grade AI agents safely and efficiently
• Own the architectural direction for our agentic platform, including orchestration, tools and skills, memory and context, evaluation and observability, security and privacy, guardrails, AI governance, and model strategy
• This is a hands-on Principal role
• Not manage a team, but you will influence architecture across the organization through reference implementations, RFCs, technical reviews, prototypes, mentorship, and deep involvement in complex production systems

Essential requirements and candidate background

• 12+ years of experience building and operating production software, including deep distributed-systems experience with consistency, idempotency, backpressure, fault tolerance, and failure recovery
• 4+ years of hands-on experience building production LLM-based systems
• 2+ years of experience shipping production agentic systems used by real customers or internal users
• Deep production experience with LangGraph, LangChain, and LangSmith, or equivalent agent orchestration and evaluation platforms
• Understanding: agentic design patterns and demonstrated judgment in selecting the appropriate level of architectural complexity
• Python development skills with the ability to write production-quality reference implementations
• Production experience with retrieval and grounding at scale, including chunking, hybrid search, reranking, citation enforcement, and permission-aware retrieval
• Demonstrated ownership of an AI evaluation practice, including golden datasets, offline regression testing, LLM-as-judge evaluation with human calibration, and release gating
• Experience: security, privacy, and compliance in multi-tenant cloud environments, preferably AWS
• Experience designing PII protection, tenant isolation, authorization boundaries, prompt-injection defenses, and data-leakage prevention
• Ability to influence architecture across multiple engineering teams without formal authority
• Communication skills with credibility among engineers, executives, security reviewers, and enterprise customers
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Systems Thinking · Architectural Restraint · Evidence Over Intuition · Security & Privacy Instinct · Pragmatic Execution · Technical Influence · Clarity

Preferred experience and additional strengths

• Experience building or operating MCP servers and clients
• Experience: agent-to-agent delegation or emerging agent interoperability protocols
• Experience: B2B GTM, RevTech, martech, CRM, or revenue intelligence platforms
• Experience: Salesforce, marketing automation, intent data, identity resolution, or outbound compliance
• Experience: fine-tuning, preference optimization, distillation, or reinforcement learning applied to agent behavior
• Experience: large-scale data platforms such as Kafka, Snowflake, Databricks, or Spark
• Experience building AI platforms operating over billions of data signals
• Experience scaling AI products through enterprise security and compliance reviews
• Open-source contributions, patents, technical publications, or industry talks related to AI or agentic systems

Location, schedule and contract conditions

• Advertised location: Bengaluru, Karnataka, India

Benefits mentioned by the employer

• Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options
• We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices
• We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform
• Employee well-being is also top of mind for us
• We host quarterly wellness education sessions to encourage self care and personal growth
• From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Principal AI Architect, Agentic Platform vacancy is not an offer for reference 5636812; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to 6sense

Applications follow the official employer page linked below.

Open the official 6sense posting below and match the title and reference 5636812.

Compare your qualifications and experience with the essential conditions for the Bengaluru, Karnataka, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Spark
• Kafka
• AWS
• MCP
• AI/ML
• LLMs
• Salesforce
• ISO
• React
• CI/CD
• AI
• audit
• compliance