Senior Manager – Applications Development

Jobtailor

Pune District

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

Jobtailor is seeking a senior AI architect to lead multi-agent system design and production-grade AI services in Python. You will drive architecting agentic workflows, integrate LangChain/LangGraph, and work with OpenAI and Anthropic platforms in complex enterprise environments.

The role requires 10+ years of technology experience, a strong grasp of governance, security, and SDLC, and the ability to work independently across engineering, product, risk, and compliance teams.

Qualifications

Bachelor's or Master's in a relevant field or equivalent experience.
10+ years of technology experience in delivering scalable digital products.
Expertise in agentic architecture and platform design.
Experience with multi-agent AI architectures and agent patterns.
Proficiency with LangChain, LangGraph, DSPy, and prompt optimization.
Ability to design reusable agent contracts, interfaces, and schemas.
Experience leading full SDLC for AI systems in enterprise settings.
Strong communication and independent work ability.

Responsibilities

Lead complex technical delivery across architecture, governance, and SDLC.
Design, build, and scale AI-enabled applications and agentic systems.
Develop tool-calling, function-calling, and memory-enabled agents.
Orchestrate workflows using LangChain and LangGraph frameworks.
Integrate LLM platforms including OpenAI and Anthropic into production services.
Define agent behavior specifications, prompts, and policy versioning.
Implement automated testing, guardrails, and telemetry-driven improvements.
Monitor cost, latency, throughput, and drift; ensure auditability and security.

Skills

Multi-Agent AI Architecture Design

Production-Grade AI Services in Python

LangChain Proficiency

LangGraph Proficiency

CI/CD for Agent Code

Governance & Compliance

Prompt Engineering

Tool-Calling Agents

Function-Calling Agents

Memory-Enabled Agents

DSPy & Optimization

API & Enterprise Data Platforms

Education

Bachelor's Degree in Computer Science

Master's in Data Science

Tools

LangChain

LangGraph

OpenAI

Anthropic

LLM Platforms

Workflow Engines

Enterprise Data Platforms

Job description

Lead US/Canada payroll projects and work on multiple assignments
Design, build, and scale AI-enabled applications and agentic systems in production
Build multi-agent architectures using planner, executor, reviewer, critic, and supervisor patterns
Develop tool-calling, function-calling, and memory-enabled agents
Orchestrate workflows using LangChain, LangGraph, and similar frameworks
Apply DSPy, prompt engineering, and optimization techniques
Build production-grade AI services in Python
Integrate Anthropic, OpenAI, and open-source LLM platforms
Design RAG solutions using vector databases
Integrate AI systems with enterprise platforms through APIs, workflows, events, and data services
Implement observability, evaluation, tracing, decision logging, and performance monitoring
Work within governance, security, privacy, and compliance frameworks
Lead complex technical delivery across architecture, engineering, governance, and the software development lifecycle
Collaborate with engineering, product, business, risk, and compliance teams
Define agent behavior specifications, prompt and policy versioning, and offline evaluation frameworks
Implement automated testing, guardrails, controlled rollout, telemetry-driven improvement, and continuous optimization
Implement CI/CD for agent code, prompts, and policies
Design human-in-the-loop feedback mechanisms
Monitor and optimize cost, latency, throughput, and behavioral drift
Produce documentation for compliance, internal audit, and regulatory review
Mentor teams in modern AI development practices

Requirements

Bachelor's degree in Computer Science or Master's in Data Science, related field, or equivalent experience
10+ years of overall technology experience
Experience delivering scalable, resilient digital products
Expertise in agentic architecture and platform design
Ability to design and implement modern multi-agent AI architecture
Experience building planner, executor, reviewer/critic, and supervisor agent patterns
Experience developing tool-calling, function-calling, and memory-enabled agents
Proficiency with LangChain and LangGraph
Experience applying DSPy and prompt optimization techniques
Ability to define reusable agent contracts, interfaces, and schemas
Experience designing hierarchical, collaborative, and event-driven agent workflows
Experience leading delivery across the full software development lifecycle, including an Agentic SDLC
Experience creating agent behavior specifications, prompt and policy versioning, and offline evaluation frameworks
Experience implementing automated testing for agent workflows and guardrails
Experience with controlled rollout, telemetry-driven improvement, and continuous optimization
Proficiency building production-grade AI services primarily in Python
Experience integrating LLMs, vector databases, APIs, workflow engines, and enterprise data platforms
Experience implementing CI/CD for agent code, prompts, and policiesExperience with tracing, decision logging, tool monitoring, and failure analysis
Experience with hallucination detection, consistency, and fitness scoring
Ability to design human-in-the-loop feedback mechanisms
Experience monitoring and optimizing cost, latency, throughput, and behavioral drift
Knowledge of financial services and enterprise governance expectations
Ability to ensure auditability, explainability, privacy, security, and resilience
Ability to embed guardrails against hallucination risk, bias, unauthorized actions, and escalation failures
Excellent verbal and written communication skills
Good troubleshooting and technical skills
Ability to work independently

Core Competencies

Demonstrates expertise in designing and implementing multi-agent AI architectures, integrating AI systems with enterprise platforms, and leading complex technical delivery across the software development lifecycle. Proficient in building production-grade AI services in Python and applying optimization techniques for scalable digital products.

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