FutureSoft Consulting Inc

Role Description We are seeking a hands-on AI Engineer to support the ongoing operation, modernization, and enhancement of AI-enabled applications for the Client. This role will involve working with confidential and regulated financial and examination data. The AI Engineer will primarily work with Python, modern web frameworks such as FastAPI, and cloud services within Microsoft Azure. The candidate will be responsible for developing, maintaining, deploying, and supporting AI-powered applications and backend services. This is an applied technical role in an AI-assisted software development environment. The candidate will work closely with business users, analysts, technical teams, and the Connecticut AI Lab, which provides architectural guidance, shared infrastructure, and engineering support for AI-enabled tools across agencies. Key Responsibilities - Maintain, enhance, and extend existing AI-enabled applications and supporting services. - Develop application logic, backend services, and web APIs using Python and modern web frameworks such as FastAPI. - Build, test, and support applications powered by large language models, including OpenAI GPT, Anthropic Claude, Google Gemini, or similar platforms. - Compare and evaluate AI models based on task performance, accuracy, cost, latency, and reliability. - Configure, deploy, monitor, and maintain applications and services in cloud environments. - Deploy and support services using Microsoft Azure technologies such as Azure App Service, Azure Storage, Azure Key Vault, and related services. - Participate in requirements gathering, design discussions, and project planning sessions with business and technical stakeholders. - Prepare source code, debug issues, correct errors, and maintain software quality. - Use Git-based source control, branching, pull requests, and code review workflows. - Document technical procedures, system workflows, application processes, and deployment steps. - Apply secure development practices when working with confidential, regulated, or sensitive data. - Collaborate with client teams and the clients AI Lab to support AI application development and modernization efforts. - Participate in the evaluation of new AI tools, frameworks, models, and related technologies. Qualifications - Minimum 3 years of Python development experience in a web application environment, including application logic and web APIs. - Minimum 2 years of experience building applications powered by large language models such as OpenAI GPT, Anthropic Claude, Google Gemini, or similar LLM platforms. - Experience building LLM-powered applications that use retrieval-augmented generation, document chunking, embedding generation, semantic or hybrid search, and vector stores. - Minimum 2 years of professional experience improving prompts and evaluating prompt outputs to improve response quality, reduce hallucinations, validate model outputs, and compare models based on accuracy, latency, cost, and reliability, including A/B testing or evaluating model performance for specific tasks. - Experience working with modern web frameworks such as FastAPI, Flask, or Django. - Experience deploying applications and supporting services in cloud environments, including hands-on experience with Microsoft Azure services such as Azure App Service, Azure Storage, Azure Key Vault, Azure Functions, or related services. - Experience using Git-based source control, branching, pull-request-based team workflow, code reviews, and CI/CD practices. - Strong understanding of secure development practices and proper handling of confidential or regulated data. - Experience collaborating directly with both technical and non-technical stakeholders, including business users, analysts, developers, cloud or platform teams, security or compliance teams, and leadership or program stakeholders. - Ability to take a user request from intake through design, development, testing, deployment, and production support with appropriate guidance. - Experience discussing responsible AI, data security, model evaluation, hallucination risk, accuracy, cost, latency, and production reliability with non-technical stakeholders. - Experience using AI-assisted software development tools to write, review, debug, and improve code. - Located within the United States. - Available during Eastern Time business hours. - Available for occasional after-hours support for production issues, deployments, urgent troubleshooting, or system maintenance needs. Preferred Skills - Experience with GitHub or Azure DevOps, especially Azure DevOps. - Experience with AI monitoring, observability, and governance, including tracking prompt performance, model behavior, response quality, drift, logging, and auditability. - Experience presenting technical designs, model comparisons, implementation recommendations, or production support updates to business or agency stakeholders. - Experience with prompt engineering, RAG, embeddings, vector databases, model evaluation, or AI application monitoring.

Role Description FutureSoft Consulting Inc. is seeking a highly experienced Systems Architect to support enterprise-wide infrastructure modernization, cloud strategy initiatives, and long-term technology transformation projects. This role is ideal for a senior technology professional with strong expertise in enterprise architecture, cloud infrastructure, systems design, and technical leadership. The selected candidate will work closely with infrastructure, development, security, and business teams to design scalable, secure, and reliable enterprise solutions. The Systems Architect will play a key role in defining future-state architecture, supporting cloud migration initiatives, improving disaster recovery strategies, and guiding technical teams through complex enterprise projects. Key Responsibilities - Lead enterprise technology initiatives across infrastructure and application teams - Design and document enterprise infrastructure and solution architectures - Develop technical roadmaps, project plans, risk assessments, and cost-benefit analyses - Support cloud migration and infrastructure modernization initiatives - Review and improve existing enterprise systems, .NET environments, and COTS applications - Conduct architecture assessments, gap analysis, and future-state solution planning - Create technical documentation for cloud migration and modernization efforts - Review disaster recovery and business continuity strategies - Provide technical leadership, mentorship, and guidance to engineering and support teams - Collaborate with infrastructure, security, development, and business stakeholders - Prepare leadership reports, status updates, and technical presentations - Support enterprise operational and architectural activities as needed Qualifications - 10+ years of experience in infrastructure architecture and enterprise systems design - 7+ years of senior-level technical leadership experience - 7+ years leading technical teams in business-critical enterprise environments - Strong experience with: - Cloud Infrastructure Architecture - Enterprise Systems Design - Infrastructure Modernization - Cloud Migration Strategy - Disaster Recovery Planning - Enterprise Technology Roadmaps - Experience working across multiple technical domains and enterprise environments - Strong understanding of enterprise infrastructure, security, scalability, and reliability principles - Experience performing architecture reviews and gap analysis - Excellent communication and stakeholder management skills - Strong leadership, collaboration, and problem-solving abilities Preferred Qualifications - AWS Certified Solutions Architect - Microsoft Azure Fundamentals Certification - Experience supporting .NET environments and enterprise applications - Experience working closely with software development teams - Strong understanding of Enterprise Architecture frameworks and best practices - Experience resolving technical and cross-functional team challenges Technical Skills - Cloud Infrastructure - AWS - Microsoft Azure - Enterprise Architecture - Infrastructure Design - Systems Architecture - Cloud Migration - Disaster Recovery - Infrastructure Modernization - .NET Environment Support - COTS Applications - Technical Roadmaps - Risk Analysis - Cost-Benefit Analysis - Enterprise IT Operations Soft Skills - Technical Leadership - Cross-Functional Collaboration - Strategic Thinking - Problem Solving - Communication Skills - Team Mentorship - Stakeholder Management