Role: AI Solutions Architect (hands-on)

Experience: 15 years or more

Location: Pan India – LTM Location (Offshore)

Contract Duration: 6 Months

Shift Timings: Work timings till around 2:30 PM to 12 AM IST for sufficient overlap as requested by customer

Client Interview: Yes, 2 rounds

REQUIREMENTS

Primary Technical Skills:

- 5+ years in software/solutions engineering with 3+ years hands-on AWS architecture and development

- Demonstrated hands-on experience building agentic AI workflows, multi-step agents, tool use orchestration (not just prompt engineering or POCs)

- Practical experience with AWS Agent Core or willingness/ability to ramp quickly given related experience with agent orchestration frameworks like LangGraph, AutoGen, Bedrock Agents or similar

- Strong hands-on expertise with AWS API Gateway, REST/HTTP APIs, authorizers, throttling, request/response transformation

- Solid experience with core AWS services: Lambda, Step Functions, DynamoDB/RDS, S3, EventBridge, IAM, CloudWatch/X-Ray

- Experience integrating LLMs/foundation models (Bedrock, OpenAI, Anthropic, etc.) into production applications

- Strong software engineering fundamentals: API design, testing, CI/CD, infrastructure as code (CloudFormation/CDK/Terraform)

- Ability to write production-quality code in Python and/or TypeScript/Node.js (preferred)





- Comfortable working directly in code – this is an individual contributor build-it-yourself role, not solely a design/review function

Secondary Technical Skills (not mandatory):

- Experience in insurance or financial services, especially underwriting/claims automation

- Familiarity with RAG architectures, vector databases, and enterprise data platforms

- Experience with agent observability/evaluation tooling, tracing, eval harnesses, guardrails

- AWS certifications: Solutions Architect Skilled or AI/ML specialty

- Experience mentoring engineers or setting technical standards for a team

Soft Skills:

- As this is an onsite role, must have strong written and oral communication skills

Key Interview Questions:

- Walk me through an agentic AI solution you have built. How did the agent orchestrate tasks, interact with tools/APIs, manage memory and context, and handle failures?

- Suppose you need to expose an AI agent that retrieves customer policy information and performs underwriting analysis. How would you design the AWS architecture using API Gateway, Lambda, Bedrock/LLMs, and supporting services?

- How would you prevent excessive LLM costs and protect against unsafe agent actions?

📌 AI Solutions Architect (Hyderabad)
🏢 Arcturus Consulting Services
📍 Hyderabad