Job Overview

we are seeking an experienced ai solution architect to lead the design and implementation of ai-driven, cloud-native applications. the ideal candidate will possess deep expertise in generative ai, agentic ai, cloud platforms (aws, azure, gcp), and modern data engineering practices. this role involves collaborating with cross-functional teams to deliver scalable, secure, and intelligent solutions in a fast-paced, innovation-driven environment.

key responsibilities:

design and architect ai/ml solutions, including generative ai, retrieval-augmented generation (rag), and fine-tuning of large language models (llms) using frameworks like langchain, langgraph, and hugging face.

implement cloud migration strategies for monolithic systems to microservices/serverless architectures using aws, azure, and gcp.

lead development of document automation systems leveraging models such as bart, layoutlm, and agentic ai workflows.

architect and optimize data lakes, etl pipelines, and analytics dashboards using databricks, pyspark, kibana, and mlops tools.

build centralized search engines using elasticsearch, solr, and neo4j for intelligent content discovery and sentiment analysis.

ensure application and ml pipeline security with tools like owasp zap, sonarqube, webinspect, and container security tools.

collaborate with infosec and devops teams to maintain ci/cd pipelines, perform vulnerability analysis, and ensure compliance.

guide modernization initiatives across app stacks and coordinate bcdr-compliant infrastructures for mission-critical services.

provide technical leadership and mentoring to engineering teams during all phases of the sdlc.

required skills & qualifications

12+ years of total experience, with extensive tenure as a solution architect in ai and cloud-driven transformations.

hands-on experience with:

generative ai, llms, prompt engineering, langchain, autogen, vertex ai, aws bedrock

python, java (spring boot, spring ai), pytorch

vector & graph databases: elasticsearch, solr, neo4j

cloud platforms: aws, azure, gcp (caf, serverless, containerization)

devsecops: sonarqube, owasp, oauth2, container security

strong background in application modernization, cloud-native architecture, and mlops orchestration.

familiarity with front-end technologies: html, javascript, angular, jquery.

certifications

google professional cloud architect

aws solution architect associate

cisco certified design associate (ccda)

cisco certified network associate (ccna)

cisco security ninja green belt